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• Swarm Intelligence and Nature-Inspired Computing.- Swarm-based Computing Algorithms for Optimization.- Particle Swarm Optimization.- Ant Colony Optimization.- Differential Evolution.- Genetic Algorithm and Evolutionary Computation.- Fireworks Algorithms.- Brain Storm Optimization Algorithm.- Bacterial Foraging Optimization Algorithm.- DNA Computing Methods.
• (source: Nielsen Book Data)

his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.
(source: Nielsen Book Data)

• Multi-Objective Optimization.- Swarm Robotics and Multi-Agent System.- UAV Cooperation and Control.- Machine Learning.- Data Mining.- Other Applications.
• (source: Nielsen Book Data)

his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.
(source: Nielsen Book Data)

• Theory and Algorithms.- LSMVC: Low-rank Semi-supervised Multi-view Clustering for Special Equipment Safety Warning.- Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition.- Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction.- Transformer with Prior Language Knowledge for Image Captioning.- Continual Learning with Laplace Operator based Node-Importance Dynamic Architecture Neural Network.- Improving generalization of reinforcement learning for multi-agent combating games.- Gradient Boosting Forest: A Two-Stage Ensemble Method Enabling Federated Learning of GBDTs.- Random Neural Graph Generation with Structure Evolution.- MatchMaker: Aspect-Based Sentiment Classification via Mutual Information.- PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling.- Label Preserved Heterogeneous Network Embedding.- Spatio-Temporal Dynamic Multi-Graph Attention Network for Ride-hailing Demand Prediction.- An Implicit Learning Approach for Solving the Nurse Scheduling Problem.- Improving Goal-Oriented Visual Dialogue by Asking Fewer Questions.- Balance Between Performance and Robustness of Recurrent Neural Networks brought by Brain-inspired Constraints on Initial Structure.- Single-Image Smoker Detection by Human-Object Interaction with Post-Refinement.- A Lightweight Multi-scale Feature Fusion Network For Real-time Semantic Segmentation.- Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering.- Handling the Deviation from Isometry between Domains and Languages in Word Embeddings: Applications to Biomedical Text Translation.- Inference in Neural Networks Using Conditional Mean-Field Methods.- Associative Graphs for Fine-Grained Text Sentiment Analysis.- k-Winners-Take-All Ensemble Neural Network.- Performance Improvement of FORCE Learning for Chaotic Echo State Networks.- Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation.- Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing.- Kernelized Transfer Feature Learning on Manifolds.- Data-Free Knowledge Distillation with Positive-Unlabeled Learning.- Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation.- Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions.- Neural Network Pruning via Genetic Wavelet Channel Search.- Binary Label-aware Transfer Learning for Cross-domain Slot Filling.- Condition-Invariant Physical Adversarial Attacks via Pixel-wise Adversarial Learning.- Multiple Partitions Alignment with Adaptive Similarity Learning.- Recommending best course of treatment based on similarities of prognostic markers.- Generative Adversarial Negative Imitation Learning from Noisy Demonstrations.- Detecting Helmets on Motorcyclists by Deep Neural Networks with a Dual-Detection Scheme.- Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting.- Disentangled Feature Network for Fine-Grained Recognition.- Large-Scale Topological Radar Localization Using Learned Descriptors.- Rethinking binary hyperparameters for deep transfer learning.- Human Centred Computing.- Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction.- Stress Recognition in Thermal Videos using Bi-Directional Long-Term Recurrent Convolutional Neural Networks.- StressNet: A Deep Neural Network based on Dynamic Dropout Layers for Stress Recognition.- Analyzing Vietnamese Legal Questions using Deep Neural Networks with Biaffine Classifiers.- BenAV: A Bengali Audio-Visual Corpus for Visual Speech Recognition.- Investigation of Different G2P Schemes for Speech Recognition in Sanskrit.- GRU with Level-Aware Attention for Rumor Early Detection in Social Networks.- Convolutional Feature-interacted Factorization Machines for Sparse Contextual Prediction.- A Lightweight Multidimensional Self-Attention Network for Fine-grained Action Recognition.- Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation.- Adaptive Graph Convolutional Network with Prior Knowledge for Action Recognition.- Self-Adaptive Graph Neural Networks for Personalized Sequential Recommendation.- Spitial-Temporal Attention Network with Multi-Similarity Loss for Fine-Grained Skeleton-Based Action Recognition.- SRGAT: Social Relational Graph Attention Network for Human Trajectory Prediction.- FSE: A powerful feature augmentation technique for classification task.- AI and Cybersecurity.- FHTC: Few-shot Hierarchical Text Classification in Financial Domain.- JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism.
• (source: Nielsen Book Data)

The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
(source: Nielsen Book Data)

• Swarm Intelligence and Nature-Inspired Computing Swarm Intelligence in Data Science: Applications, Opportunities and Challenges.- Synchronized Swarm Operation.- Prediction of Photovoltaic Power using Nature-Inspired Computing.- A Two-Step Approach to the Search of Minimum Energy Designs via Swarm Intelligence.- On Assessing the Temporal Characteristics of Reaching the Milestone by a Swarm.- Swarm-based Computing Algorithms for Optimization Learning Automata-based Fireworks Algorithm On Adaptive Assigning.- Binary Pigeon-Inspired Optimization for Quadrotor Swarm Formation Control.- A Novel Biogeography-based Optimization Algorithm with Momentum Migration and Taxonomic Mutation.- A Modi ed Arti cial Bee Colony Algorithm for Scheduling Optimization of Multi-Aisle AS/RS System.- The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining.- A Novel Image Segmentation Based on Clustering and Population-Based Optimisation.- Colour Quantisation by Human Mental Search.- Canine Algorithm for Node Disjoint Paths.- Particle Swarm Optimization.- Optimizing Hydrography Ontology Alignment through Compact Particle Swarm Optimization Algorithm.- Map Generation and Balance in the Terra Mystica Board Game Using Particle Swarm and Local Search.- Research on Crowd-sensing Task Assignment Based on Fuzzy Inference PSO Algorithm.- The improvement of V-shaped transfer function of Binary Particle Swarm Optimization.- Hybrid Ant Colony Optimization-based Method for Focal of a Disease Segmentation in Lung CT Images.- An Ant-Inspired Track-to-Track Recovery Approach for Construction of Cell Lineage Trees.- An Ant Colony Optimization Algorithm Based Automated Generation of Software Test Cases.- Brain Storm Optimization Algorithm.- BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.- A Hybrid Brain Storm Optimization Algorithm for Dynamic Vehicle Routing Problem.- Determinative Brain Storm Optimization.-An Adapting Chemotaxis Bacterial Foraging Optimization Algorithm for Feature Selection in Classification.- Bacterial Foraging Optimization Based on Levy Flight for Fuzzy Portfolio Optimization.- Adaptive bacterial foraging optimization based on roulette strategy.- An Improved Bacterial Foraging Optimization with Dierential and Poisson Distribution Strategy and its Application to Nurse Scheduling Problem.- Improved Bacterial Foraging Optimization Algorithm with Comprehensive Swarm Learning Strategies.- Modified Bacterial Foraging Optimization for Fuzzy MeanSemivariance-Skewness Portfolio Selection.- Genetic Algorithm and Evolutionary Computation.- A New Local Search Adaptive Genetic Algorithm for the Pseudo-Coloring Problem.- A Genetic Algorithm-Based Solver for small-scale Jigsaw Puzzles.- A New EDA with Dimension Reduction Technique for Large Scale Many-objective Optimization.- An Improved CMA-ES for Solving Large Scale Optimization Problem.- Archive Update Strategy In uences Di erential Evolution Performance.- A Structural testing model using SDA algorithm.- Multi-objective Particle Swarm Optimisation for Cargo Packaging in Large Containers.- Multi-objective Combinatorial Generative Adversarial Optimization and Its Application in Crowdsensing.-Multi-Objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology.- Optimal Reservoir Optimization Using Multiobjective Genetic Algorithm.- Success-history based parameter adaptation in MOEA/D algorithm.- Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria.- A Tool for Supporting the Evaluation of Active Learning Activities.- Inferring Candidate CircRNA-disease Associations by Bi-random Walk Based on CircRNA Regulatory Similarity.- Methods of Machine Learning in System Abnormal Behavior Detection.- Use of the industrial property system in Colombia (2018): a machine learning application.- Imbalanced Ensemble Learning for Enhanced Pulsar Identification.- Computational Analysis of Third-Grade Liquid Flow with Cross Diusion Eects: Application to Entropy Modeling
• Aula Touch Game: Digital tablets and their incidence in the development of citizen competences of middle education students in the district of Barranquilla-Colombia.- Case Classifi cation Processing and Analysis Method for Respiratory Belt Data.- Target Tracking Algorithm based on Density Clustering.- A Method for Localization and Classifi cation of Breast Ultrasound Tumors.- Deep Learning Strategies for Survival Prediction in Prophylactic Resection Patients.- Method based on Data Mining Techniques for Breast Cancer Recurrence Analysis.- Parasite-Guest Infection Modeling: Social Science Applications.- Research on Sliding Mode Control of Underwater Vehicle-manipulator System Based on an Exponential Approach Law.- A Parallel Evolutionary Algorithm with Value Decomposition for Multi-Agent Problems.- O- ocking: Optimized Flocking Model on Autonomous Navigation for Robotic Swarm.- A Multi-agent Ant Colony Optimization Algorithm for Effective Vehicular Tra c Management.- Site Selection of the Colombian Antarctic Research Station based on Fuzzy-Topsis Algortihm.- Newtonian heating eects of Oldroyd-B liquid ow with cross-difussion and second order slip.- Econometric Algorithms Applied to the Incidence of Income on Satisfaction with Quality of Life in Latin American Capitals.- Analytical Study of Radiative Casson Nanoliquid Flow with Heat Absorption.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications.
(source: Nielsen Book Data)

• A Hybrid Immunological Search for the Weighted Feedback Vertex Set Problem
• A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability
• Towards Improving Merging Heuristics for Binary Decision Diagrams
• On Polynomial Solvability of One Quadratic Euclidean Clustering Problem on a Line
• How to Use Boltzmann Machines and Neural Networks for Covering Array Generation
• Adaptive Sequence-Based Heuristic for the Three-Dimensional Bin Packing Problem
• Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks
• A Hessian free neural networks training algorithm with curvature sealed adaptive momentum. Plus 23 other papers.

This book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019. The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.

This volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 40 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

The two volumes, LNCS 6686 resp. LNCS 6687, constitute the refereed proceedings of the 4th International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2011, held in La Palma, Canary Islands, Spain, in May/June 2011. The 108 revised full papers presented in LNCS 6686 resp. LNCS 6687 were carefully reviewed and selected from numerous submissions. The first part, LNCS 6686, entitled "Foundations on Natural and Artificial Computation", includes all the contributions mainly related to the methodological, conceptual, formal, and experimental developments in the fields of neurophysiology and cognitive science. The second part, LNCS 6687, entitled "New Challenges on Bioinspired Applications", contains the papers related to bioinspired programming strategies and all the contributions related to the computational solutions to engineering problems in different application domains, specially Health applications, including the CYTED ̀̀Artificial and Natural Computation for Health'' (CANS) research network papers

• Neural Networks.- Design of a Novel Six-Dimensional Force/Torque Sensor and Its Calibration Based on NN.- Incremental-Based Extreme Learning Machine Algorithms for Time-Variant Neural Networks.- Global Exponential Robust Stability of Hopfield Neural Networks with Reaction-Diffusion Terms.- Direct Inverse Model Control Based on a New Improved CMAC Neural Network.- Further Research on Extended Alternating Projection Neural Network.- Global Synchronization in an Array of Hybrid Coupling Neural Networks with Multiple Time-Delay Components.- Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System.- The White Noise Impact on the Optimal Performance of the Hopfield Neural Network.- The Study and Realization of Virtual Organization File System Based on DHT Technology.- Evolutionary Learning and Genetic Algorithms.- A Novel Quantum Genetic Algorithm for PID Controller.- Research on Hybrid Evolutionary Algorithms with Differential Evolution and GUO Tao Algorithm Based on Orthogonal Design.- An Improved Evolution Strategy for Constrained Circle Packing Problem.- Lecture Notes in Computer Science: Research on Multi-robot Avoidance Collision Planning Based on XCS.- Fuzzy Theory and Models.- An Integrated Method for the Construction of Compact Fuzzy Neural Models.- Scalarization of Type-1 Fuzzy Markov Chains.- Fuzzy Systems and Soft Computing.- Applying Fuzzy Differential Equations to the Performance Analysis of Service Composition.- Lattice Structures of Fuzzy Soft Sets.- A Predicate Formal System of Universal Logic with Projection Operator.- A Neuro-Evolutive Interval Type-2 TSK Fuzzy System for Volatile Weather Forecasting.- A Soft Computing Approach for Obtaining Transition Regions in Satellite Images.- Particle Swarm Optimization and Niche Technology.- Particle Swarm Optimization for Two-Stage Fuzzy Generalized Assignment Problem.- A Novel Cyclic Discrete Optimization Framework for Particle Swarm Optimization.- Economic Dispatch Considering Ancillary Service Based on Revised Particle Swarm Optimization Algorithm.- Particle Swarm Optimization-Based Extremum Seeking Control.- Image Contour Extraction Based on Ant Colony Algorithm and B-snake.- Supervised and Semi-supervised Learning.- An Improved Hidden Markov Model for Literature Metadata Extraction.- Discriminative Training of Subspace Gaussian Mixture Model for Pattern Classification.- Unsupervised and Reinforcement Learning.- A Stage by Stage Pruning Algorithm for Detecting the Number of Clusters in a Dataset.- Adaptive Independent Component Analysis by Modified Kernel Density Estimation.- Combinatorial and Numerical Optimization.- Cross System Bank Branch Evaluation Using Clustering and Data Envelopment Analysis.- He's Variational Iteration Method for Solving Convection Diffusion Equations.- GRASP for Low Autocorrelated Binary Sequences.- miRNA Target Prediction Method Based on the Combination of Multiple Algorithms.- Imperialistic Competitive Algorithm for Solving a Dynamic Cell Formation Problem with Production Planning.- Systems Biology and Computational Biology.- Genome-Wide DNA Methylation Profiling in 40 Breast Cancer Cell Lines.- GRIDUISS - A Grid Based Universal Immune System Simulator Framework.- Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods.- Neural Computing and Optimization.- PH Optimal Control in the Clarifying Process of Sugar Cane Juice Based on DHP.- Nature Inspired Computing and Optimization.- Parameter-Free Deterministic Global Search with Simplified Central Force Optimization.- Comparison of Optimality and Robustness between SA, TS and GRASP Metaheuristics in FJSP Problem.- Hardware Emulation of Bacterial Quorum Sensing.- Knowledge Discovery and Data Mining.- Finding Research Community in Collaboration Network with Expertise Profiling.- The Ideal Data Representation for Feature Extraction of Traditional Malay Musical Instrument Sounds Classification.- Mining Reputation of Person/Product from Comment and Reply on UCC/Internet Article.- Interaction Analysis for Adaptive User Interfaces.- Unsupervised Subjectivity-Lexicon Generation Based on Vector Space Model for Multi-Dimensional Opinion Analysis in Blogosphere.- Enhancing Negation-Aware Sentiment Classification on Product Reviews via Multi-Unigram Feature Generation.- Building Associated Semantic Overlay for Discovering Associated Services.- Artificial Life and Artificial Immune Systems.- Immunity-Based Model for Malicious Code Detection.- Sparse Representation-Based Face Recognition for One Training Image per Person.- Semi-supervised Local Discriminant Embedding.- Orthogonal Discriminant Local Tangent Space Alignment.- Intelligent Computing in Image Processing.- Separating Pigment Components of Leaf Color Image Using FastICA.- Fast Algorithm for Multisource Image Registration Based on Geometric Feature of Corners.- Newborn Footprint Recognition Using Subspace Learning Methods.- Plant Classification Using Leaf Image Based on 2D Linear Discriminant Analysis.- Palmprint Recognition Combining LBP and Cellular Automata.- Dual Unsupervised Discriminant Projection for Face Recognition.- Applying Wikipedia-Based Explicit Semantic Analysis for Query-Biased Document Summarization.- Special Session on New Hand-Based Biometric Methods.- A New Approach for Vein Pattern-Based Recognition.- Study of Hand-Dorsa Vein Recognition.- DHV Image Registration Using Boundary Optimization.- Special Session on Recent Advances in Image Segmentation.- A Novel Level Set Model Based on Local Information.- A Multi-Descriptor, Multi-Nearest Neighbor Approach for Image Classification.- Orthogonal Locally Discriminant Projection for Palmprint Recognition.- Special Session on Theories and Applications in Advanced Intelligent Computing.- OPC UA Based Information Modeling for Distributed Industrial Systems.- Voting-Averaged Combination Method for Regressor Ensemble.- Face Recognition Using the Feature Fusion Technique Based on LNMF and NNSC Algorithms.- A PDOC Method for Topology Optimization Design.- Special Session on Search Based Software Engineering.- A Decision Support System Based on GIS for Grain Logistics Vehicle Routing Problem.- On Database Normalization Using User Interface Normal Form.- Special Session on Bio-inspired Computing and Applications.- Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection.- An Improved Image Rectification Algorithm Based on Particle Swarm Optimization.- Particle Swarm Optimizer Based on Small-World Topology and Comprehensive Learning.- Multi-Objective PSO Based on Evolutionary Programming.- Special Session on Advance in Dimensionality Reduction Methods and Its Applications.- Two-Dimensional Sparse Principal Component Analysis for Palmprint Recognition.- Discovery of Protein's Multifunction and Diversity of Information Transmission.- Special Session on Protein and Gene Bioinformatics: Methods and Applications.- Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach.- Density Based Merging Search of Functional Modules in Protein-Protein Interaction (PPI) Networks.- Topology Prediction of ?-Helical and ?-Barrel Transmembrane Proteins Using RBF Networks.- Palmprint Recognition Based on Neighborhood Rough Set.- Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics.- Predicting Protein Stability Change upon Double Mutation from Partial Sequence Information Using Data Mining Approach.- Inference of Gene Expression Regulation via microRNA Transfection.- A Residual Level Potential of Mean Force Based Approach to Predict Protein-Protein Interaction Affinity.
• (source: Nielsen Book Data)

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 that were held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
(source: Nielsen Book Data)

• Plenary and Invited Papers.- An Efficiency-Based Adaptive Refinement Scheme Applied to Incompressible, Resistive Magnetohydrodynamics.- Discontinuous Galerkin Subgrid Finite Element Method for Heterogeneous Brinkman's Equations.- Stochastic Simulation for Solving Random Boundary Value Problems and Some Applications.- On Finite Element Error Estimates for Optimal Control Problems with Elliptic PDEs.- On Some Stability Properties of the Richardson Extrapolation Applied Together with the ?-Method.- Multilevel and Multiscale Preconditioning Methods.- On the Use of Aggregation-Based Parallel Multilevel Preconditioners in the LES of Wall-Bounded Turbulent Flows.- An Additive Matrix Preconditioning Method with Application for Domain Decomposition and Two-Level Matrix Partitionings.- Numerical Study of AMLI Methods for Weighted Graph-Laplacians.- A Scalable TFETI Based Algorithm for 2D and 3D Frictionless Contact Problems.- Multilevel Preconditioning of Crouzeix-Raviart 3D Pure Displacement Elasticity Problems.- Element-by-Element Schur Complement Approximations for General Nonsymmetric Matrices of Two-by-Two Block Form.- Numerical Simulation of Fluid-Structure Interaction Problems on Hybrid Meshes with Algebraic Multigrid Methods.- Multilevel and Multiscale Methods for Industrial Applications.- Recent Developments in the Multi-Scale-Finite-Volume Procedure.- Boundary Element Simulation of Linear Water Waves in a Model Basin.- Numerical Homogenization of Bone Microstructure.- Multiscale Modeling and Simulation of Fluid Flows in Highly Deformable Porous Media.- Environmental Modelling.- Assimilation of Chemical Ground Measurements in Air Quality Modeling.- Numerical Simulations with Data Assimilation Using an Adaptive POD Procedure.- Game-Method Model for Field Fires.- Joint Analysis of Regional Scale Transport and Transformation of Air Pollution from Road and Ship Transport.- Runs of UNI-DEM Model on IBM Blue Gene/P Computer and Analysis of the Model Performance.- Sensitivity Analysis of a Large-Scale Air Pollution Model: Numerical Aspects and a Highly Parallel Implementation.- Advanced Results of the PM10 and PM2.5 Winter 2003 Episode by Using MM5-CMAQ and WRF/CHEM Models.- Four-Dimensional Variational Assimilation of Atmospheric Chemical Data - Application to Regional Modelling of Air Quality.- Numerical Study of Some High PM10 Levels Episodes.- Control and Uncertain Systems.- Hausdorff Continuous Viscosity Solutions of Hamilton-Jacobi Equations.- Stochastic Skiba Sets: An Example from Models of Illicit Drug Consumption.- Classical and Relaxed Optimization Methods for Nonlinear Parabolic Optimal Control Problems.- Exponential Formula for Impulsive Differential Inclusions.- Directional Sensitivity Differentials for Parametric Bang-Bang Control Problems.- Estimates of Trajectory Tubes of Uncertain Nonlinear Control Systems.- Asymptotics for Singularly Perturbed Reachable Sets.- On Optimal Control Problem for the Bundle of Trajectories of Uncertain System.- High-Order Approximations to Nonholonomic Affine Control Systems.- Application of Metaheuristics to Large Scale Problems.- A Parametric Multi-start Algorithm for Solving the Response Time Variability Problem.- Enhancing the Scalability of Metaheuristics by Cooperative Coevolution.- Hybrid ACO Algorithm for the GPS Surveying Problem.- Generalized Nets as Tools for Modeling of the Ant Colony Optimization Algorithms.- A Scatter Search Approach for Solving the Automatic Cell Planning Problem.- Some Aspects Regarding the Application of the Ant Colony Meta-heuristic to Scheduling Problems.- High-Performance Heuristics for Optimization in Stochastic Traffic Engineering Problems.- Optimization of Complex SVM Kernels Using a Hybrid Algorithm Based on Wasp Behaviour.- Monte Carlo: Methods, Applications, Distributed Computing.- Enabling Cutting-Edge Semiconductor Simulation through Grid Technology.- Incremental Reuse of Paths in Random Walk Radiosity.- Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-Scale Air Pollution Model.- Parallel Implementation of the Stochastic Radiosity Method.- Monte-Carlo Modeling of Electron Kinetics in Room Temperature Quantum-Dot Photodetectors.- Particle Model of the Scattering-Induced Wigner Function Correction.- Analysis of the Monte Carlo Image Creation by Uniform Separation.- The Role of the Boundary Conditions on the Current Degradation in FD-SOI Devices.- Gamma Photon Transport on the GPU for PET.- Transport in Nanostructures: A Comparative Analysis Using Monte Carlo Simulation, the Spherical Harmonic Method, and Higher Moments Models.- Thermal Modeling of GaN HEMTs.- Grid and Scientific and Engineering Applications.- Tuning the Generation of Sobol Sequence with Owen Scrambling.- Applying the Improved Saleve Framework for Modeling Abrasion of Pebbles.- Information Flow and Mirroring in an Agent-Based Grid Resource Brokering System.- Scatter Search and Grid Computing to Improve Nuclear Fusion Devices.- Service-Oriented Integration of Grid Applications in Heterogeneous Grids.- Grid Based Environment Application Development Methodology.- User Level Grid Quality of Service.- Dictionary Compression and Information Source Correction.- A Parallelization of Finite Volume Method for Calculation of Gas Microflows by Domain Decomposition Methods.- Background Pollution Forecast over Bulgaria.- Climate Change Impact Assessment of Air Pollution Levels in Bulgaria.- Effective Algorithm for Calculating Spatial Deformations of Pre-stressed Concrete Beams.- Reliable Numerical Methods for Differential Equations.- Structurally Stable Numerical Schemes for Applied Dynamical Models.- Matrix and Discrete Maximum Principles.- On a Bisection Algorithm That Produces Conforming Locally Refined Simplicial Meshes.- A Discrete Maximum Principle for Nonlinear Elliptic Systems with Interface Conditions.- Inverse Problem for Coefficient Identification in Euler-Bernoulli Equation by Linear Spline Approximation.- A Fully Implicit Method for Fluid Flow Based on Vectorial Operator Splitting.- Discrete Maximum Principle for Finite Element Parabolic Operators.- Climate Change Scenarios for Hungary Based on Numerical Simulations with a Dynamical Climate Model.- Numerical Simulations of Reaction-Diffusion Systems Arising in Chemistry Using Exponential Integrators.- On the Discretization Time-Step in the Finite Element Theta-Method of the Two-Dimensional Discrete Heat Equation.- Novel Applications of Optimization Ideas to the Numerical Solution of PDEs.- A Locally Conservative Mimetic Least-Squares Finite Element Method for the Stokes Equations.- Additive Operator Decomposition and Optimization-Based Reconnection with Applications.- Least-Squares Spectral Element Method on a Staggered Grid.- Mimetic Least-Squares Spectral/hp Finite Element Method for the Poisson Equation.- Adaptive Least Squares Finite Element Methods in Elasto-Plasticity.- The Automatic Construction and Solution of a Partial Differential Equation from the Strong Form.- Contributed Papers.- Zienkiewicz-Type Finite Element Applied to Fourth-Order Problems.- Acceleration of Convergence for Eigenpairs Approximated by Means of Non-conforming Finite Element Methods.- A Two-Grid Method on Layer-Adapted Meshes for a Semilinear 2D Reaction-Diffusion Problem.- Comparative Analysis of Solution Methods for Delay Differential Equations in Hematology.- Solving Non-linear Systems of Equations on Graphics Processing Units.- Computing n-Variate Orthogonal Discrete Wavelet Transforms on Graphics Processing Units.- Wavelet Compression, Data Fitting and Approximation Based on Adaptive Composition of Lorentz-Type Thresholding and Besov-Type Non-threshold Shrinkage.- On Interpolation in the Unit Disk Based on Both Radon Projections and Function Values.- Comparison between the Marching-Cube and the Marching-Simplex Methods.- Transitions from Static to Dynamic State in Three Stacked Josephson Junctions.- Factorization-Based Graph Repartitionings.- An Efficient Algorithm for Bilinear Strict Equivalent (BSE)- Matrix Pencils.- Two-Grid Decoupling Method for Elliptic Problems on Disjoint Domains.- A Method for Sparse-Matrix Computation of B-Spline Curves and Surfaces.- Parallel MIC(0) Preconditioning for Numerical Upscaling of Anisotropic Linear Elastic Materials.- The Bpmpd Interior Point Solver for Convex Quadratically Constrained Quadratic Programming Problems.- On Shape Optimization of Acoustically Driven Microfluidic Biochips.- Block Preconditioners for the Incompressible Stokes Problem.
• (source: Nielsen Book Data)

The 7th International Conference on Large-Scale Scienti?c Computations (LSSC 2009) was held in Sozopol, Bulgaria, June 4-8, 2009. The conference was organized and sponsored by the Institute for Parallel Processing at the B- garian Academy of Sciences. The conference was devoted to the 70th birthday anniversary of Professor Zahari Zlatev. The Bulgarian Academy of Sciences awarded him the Marin Drinov medal on ribbon for his outstanding results in environmental mat- matics and for his contributions to the Bulgarian mathematical society and the Academy of Sciences. The plenary invited speakers and lectures were: - P. Arbenz, "?Finite Element Analysis of Human Bone Structures" - Y. Efendiev, "Mixed Multiscale Finite Element Methods Using Limited Global Information" - U. Langer, "Fast Solvers for Non-Linear Time-Harmonic Problems" - T. Manteu?el, "First-Order System Least-Squares Approach to Resistive Magnetohydrodynamic Equations" - K. Sabelfeld, "Stochastic Simulation for Solving Random Boundary Value Problems and Some Applications" - F. Tro ..ltzsch, "OnFinite ElementErrorEstimatesforOptimalControlPr- lems with Elliptic PDEs" - Z. Zlatev, "On Some Stability Properties of the Richardson Extrapolation Applied Together with the ?-method" The success of the conference and the present volume in particular are an outcome of the joint e?orts of many partnersfrom various institutions and or- nizations. Firstwe wouldlike to thank allthe membersofthe Scienti?c Comm- tee for their valuable contribution forming the scienti?c face of the conference, as well as for their help in reviewing contributed papers. We especially thank the organizers of the special sessions.
(source: Nielsen Book Data)

• Main Track (Regular Papers)
• A Column Generation Heuristic for the General Vehicle Routing Problem
• A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure for the Just-In-Time Job-Shop Scheduling Problem
• A Math-Heuristic Algorithm for the DNA Sequencing Problem
• A Randomized Iterated Greedy Algorithm for the Founder Sequence Reconstruction Problem
• Adaptive "Anytime" Two-Phase Local Search
• Adaptive Filter SQP
• Algorithm Selection as a Bandit Problem with Unbounded Losses
• Bandit-Based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis
• Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search
• Distance Functions, Clustering Algorithms and Microarray Data Analysis
• Gaussian Process Assisted Particle Swarm Optimization
• Learning of Highly-Filtered Data Manifold Using Spectral Methods
• Multiclass Visual Classifier Based on Bipartite Graph Representation of Decision Tables
• Main Track (Short Papers)
• A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem
• A Multilevel Scheme with Adaptive Memory Strategy for Multiway Graph Partitioning
• A Network Approach for Restructuring the Korean Freight Railway Considering Customer Behavior
• A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference
• Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters
• Generative Topographic Mapping for Dimension Reduction in Engineering Design
• Learning Decision Trees for the Analysis of Optimization Heuristics
• On the Coordination of Multidisciplinary Design Optimization Using Expert Systems
• On the Potentials of Parallelizing Large Neighbourhood Search for Rich Vehicle Routing Problems
• Optimized Ensembles for Clustering Noisy Data
• Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins
• Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers
• Special Session: LION-SWOP
• Grapheur: A Software Architecture for Reactive and Interactive Optimization
• The EvA2 Optimization Framework
• Special Session: LION-CCEC
• Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
• Special Session: LION-PP
• Understanding TSP Difficulty by Learning from Evolved Instances
• Time-Bounded Sequential Parameter Optimization
• Pitfalls in Instance Generation for Udine Timetabling
• Special Session: LION-MOME
• A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D
• An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones
• On the Distribution of EMOA Hypervolumes
• Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer.

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.
In parallel to the printed book, each new volume is published electronically in LNCS Online. --Book Jacket.

• Regular Papers.- Perspectives on Denotational Mathematics: New Means of Thought.- On Contemporary Denotational Mathematics for Computational Intelligence.- Mereological Theories of Concepts in Granular Computing.- On Mathematical Laws of Software.- Rough Logic and Its Reasoning.- On Reduct Construction Algorithms.- Attribute Set Dependence in Reduct Computation.- A General Model for Transforming Vague Sets into Fuzzy Sets.- Quantifying Knowledge Base Inconsistency Via Fixpoint Semantics.- Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table.- Applying Rough Sets to Information Tables Containing Possibilistic Values.- Toward a Generic Mathematical Model of Abstract Game Theories.- A Comparative Study of STOPA and RTPA.
• (source: Nielsen Book Data)

The denotational and expressive needs in cognitive informatics, computational intelligence, software engineering, and knowledge engineering have led to the development of new forms of mathematics collectively known as denotational mathematics. Denotational mathematics is a category of mathematical structures that formalize rigorous expressions and long-chain inferences of system compositions and behaviors with abstract concepts, complex relations, and dynamic processes. Typical paradigms of denotational mathematics are concept algebra, system algebra, Real-Time Process Algebra (RTPA), Visual Semantic Algebra (VSA), fuzzy logic, and rough sets. A wide range of applications of denotational mathematics have been identified in many modern science and engineering disciplines that deal with complex and intricate mathematical entities and structures beyond numbers, Boolean variables, and traditional sets. This issue of Springer's Transactions on Computational Science on Denotational Mathematics for Computational Intelligence presents a snapshot of current research on denotational mathematics and its engineering applications. The volume includes selected and extended papers from two international conferences, namely IEEE ICCI 2006 (on Cognitive Informatics) and RSKT 2006 (on Rough Sets and Knowledge Technology), as well as new contributions. The following four important areas in denotational mathem- ics and its applications are covered: Foundations and applications of denotational mathematics, focusing on: a) c- temporary denotational mathematics for computational intelligence; b) deno- tional mathematical laws of software; c) a comparative study of STOPA and RTPA; and d) a denotational mathematical model of abstract games.
(source: Nielsen Book Data)

• Optimization for Urban Air Mobility
• A Matheuristic Algorithm for Solving the Vehicle Routing Problem with Cross-Docking
• Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective
• QPTAS for the CVRP with a Moderate Number of Routes in a Metric Space of Any Fixed Doubling Dimension
• Early Detection of Eating Disorders Through Machine Learning Techniques
• On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances
• Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks
• A Class of Linear Programs Solvable by Coordinate-Wise Minimization
• Travel Times Equilibration Procedure for Route-Flow Traffic Assignment Problem
• confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. Plus 28 other papers.

This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. .
(source: Nielsen Book Data)

• Intro
• Preface
• Organization
• Contents
• Part I
• Human-Computer Interaction
• A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition
• 1 Introduction
• 2 Method
• 2.1 Dataset
• 2.2 Network Architecture
• 2.3 Two-Stream Architecture
• 2.4 Data Pre-processing and Feature Selection
• 3 Experiments and Discussions
• 3.1 Experiment Settings
• 3.2 Baseline Model
• 3.3 Experiments on GFS and Two-Stream Architecture
• 3.4 Discussion
• 4 Conclusion and Future Work
• References

• An Efficient Joint Training Framework for Robust Small-Footprint Keyword Spotting
• 1 Introduction
• 2 System Description
• 2.1 Masking-Based Speech Enhancement Method
• 2.2 Feature Transformation Block
• 2.3 Keyword Spotting System
• 3 Experiments and Results
• 3.1 Experimental Settings
• 3.2 Results
• 4 Conclusions
• References
• Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots
• 1 Introduction
• 2 Related Work
• 3 Hierarchical Interactive Matching Network
• 3.1 Task Description
• 3.2 Model Overview

• 3.3 Multi-level Attention Representation
• 3.4 Two-Level Hierarchical Interactive Matching
• 3.5 Aggregation
• 4 Experiments
• 4.1 Dataset
• 4.2 Evaluation Metric
• 4.3 Baseline Models
• 4.4 Experiment Settings
• 4.5 Experiment Results
• 4.6 Discussions
• 5 Conclusion
• References
• Investigation of Effectively Synthesizing Code-Switched Speech Using Highly Imbalanced Mix-Lingual Data
• 1 Introduction
• 2 Related Work
• 2.1 Data Sets for the CS TTS
• 2.2 Text Representation for CS TTS
• 3 Proposed Method
• 3.1 General Framework
• 3.2 CS Front-End
• 3.3 Synthesis Module

• 4 Data Description
• 5 Experiments
• 5.1 Input Representations
• 5.2 Experimental Setup
• 5.3 Experimental Results
• 6 Conclusion
• References
• Image Processing and Computer Vision
• A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection
• 1 Introduction
• 2 Related Work
• 2.1 Non-deep Learning Algorithms
• 2.2 Deep Learning Algorithms
• 3 Methodology
• 3.1 FusionNet
• 3.2 The Loss Function
• 4 Experiments
• 4.1 The Multi-modal Dataset
• 4.2 Experimental Results
• 5 Conclusion
• References
• A Hybrid Self-Attention Model for Pedestrians Detection
• 1 Introduction

• 2 Related Work
• 2.1 Pedestrian Detection
• 2.2 Attention Mechanism
• 3 Proposed Method
• 3.1 Revisiting the CSP Detector
• 3.2 Channel Attention
• 3.3 Spatial Attention
• 3.4 Hybrid Attention Fusion Strategy
• 4 Experiments
• 4.1 Dataset and Evaluation Metrics
• 4.2 Ablation Study
• 4.3 Comparison with State of the Arts
• 5 Conclusion
• References
• DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCN
• 1 Introduction
• 2 Related Work
• 3 DF-PLSTM-FCN
• 3.1 Driving Model
• 3.2 Network Structure
• 3.3 Feature Fusion
• 3.4 Decision Fusion

The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.
(source: Nielsen Book Data)

• Section I: Analysis of Genetic Algorithms
• A Novel Online Test-Sheet Composition Approach Using Genetic Algorithm
• A Route System Based on Genetic Algorithm for Coarse-Grain Reconfigurable Architecture
• Building Trade System by Genetic Algorithm
• Implementation of Parallel Genetic Algorithm Based on CUDA
• Moitf GibbsGA: Sampling Transcription Factor Binding Sites Coupled with PSFM Optimization by GA
• Network Model and Optimization of Medical Waste Reverse Logistics by Improved Genetic Algorithm
• SGEGC: A Selfish Gene Theory Based Optimization Method by Exchanging Genetic Components
• Section II: Computational Intelligence in Engineer Design
• A Novel RM-Based Algorithm for Reversible Circuits
• A Novel Transformation-Based Algorithm for Reversible Logic Synthesis
• Estimation of Distribution Algorithms for the Machine-Part Cell Formation
• Global Exponential Stability of Delayed Neural Networks with Non-lipschitz Neuron Activations and Impulses
• Modeling and Verification of Zhang Neural Networks for Online Solution of Time-Varying Quadratic Minimization and Programming
• New Product Design Based Target Cost Control with BP Neural Network and Genetic Algorithm
• A Case Study in Chinese Automobile Industry
• Hard Real Time Task Oriented Power Saving Scheduling Algorithm Based on DVS
• Section III: Optimization and Learning
• A Globally Convergent Smoothing Method for Symmetric Conic Linear Programming
• A New Optimizaiton Algorithm for Function Optimization
• A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution
• Balanced Learning for Ensembles with Small Neural Networks
• Estimating Geostatistics Variogram Parameters Based on Hybrid Orthogonal Differential Evolution Algorithm
• Memetic Strategies for Global Trajectory Optimisation
• Effects of Similarity-Based Selection on WBMOIA: A Weight-Based Multiobjective Immune Algorithm
• Section IV: Representations and Operators
• A Novel Evolutionary Algorithm Based on Multi-parent Crossover and Space Transformation Search
• An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation
• Clonal and Cauchy-mutation Evolutionary Algorithm for Global Numerical Optimization
• Construction of Hoare Triples under Generalized Model with Semantically Valid Genetic Operations
• Evaluation of Cobalt-Rich Crust Resources Based on Fractal Characteristics of Seamount Terrain
• Hybridizing Evolutionary Negative Selection Algorithm and Local Search for Large-Scale Satisfiability Problems
• Novel Associative Memory Retrieving Strategies for Evolutionary Algorithms in Dynamic Environments
• Section V: Robust Classification
• An Algorithm of Mining Class Association Rules
• An Empirical Study on Several Classification Algorithms and Their Improvements
• Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap
• Detecting Network Anomalies Using CUSUM and EM Clustering
• Multiobjective Optimization in Mineral Resources Exploitation: Models and Case Studies
• Robust and Efficient Eye Location and Its State Detection
• Section VI: Statistical Learning
• A Neural Network Architecture for Perceptual Grouping, Attention Modulation and Boundary-Surface Interaction
• Adaptive Neighborhood Select Based on Local Linearity for Nonlinear Dimensionality Reduction
• Anti-spam Filters Based on Support Vector Machines
• Multi-attribute Weight Allocation Based on Fuzzy Clustering Analysis and Rough Sets
• Spatio-temporal Model Based on Back Propagation Neural Network for Regional Data in GIS
• Subject Integration and Applications of Neural Networks
• The Convergence Control to the ACO Metaheuristic Using Annotated Paraconsistent Logic
• The Research of Artificial Neural Network on Negative Correlation Learning
• Section VII: Swarm Intelligence
• A Discrete PSO for Multi-objective Optimization in VLSI Floorplanning
• Applying Chaotic Particle Swarm Optimization to the Template Matching Problem
• Cellular PSO: A PSO for Dynamic Environments
• Constrained Layout Optimization Based on Adaptive Particle Swarm Optimizer
• Multi-swarm Particle Swarm Optimizer with Cauchy Mutation for Dynamic Optimization Problems
• Optimization of the Damping of the Rectangular 3-D Braided Composite Based on PSO Algorithm
• Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering
• Storage-Based Intrusion Detection Using Artificial Immune Technique
• Section VIII: System Design
• A New Method for Optimal Configuration of Weapon System
• A Secure Routing Algorithm for MANET
• Detection and Defense of Identity Attacks in P2P Network
• License Plate Multi-DSP and Multi-FPGA Design and Realization in Highway Toll System
• QoS Routing Algorithm for Wireless Multimedia Sensor Networks
• Realization of Fingerprint Identification on DSP
• Localization Algorithm of Beacon-Free Node in WSN Based on Probability
• The Method of Knowledge Processing in Intelligent Design System of Products.

Annotation---Volumes CCIS 51 and LNCS 5812 constitute the proceedings of the Fourth Interational Symposium on Intelligence Computation and Applications, ISICA 2009, held in Huangshi, China, during October 23-25. ISICA 2009 attracted over 300 submissions. Through rigorous reviews, 58 papers were included in LNCS 5821, and 54 papers were collected in CCIS 51. ISICA conferences are one of the first series of international conferences on computational intelligence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to artificial intelligence.

• Evolutionary Dynamics of Extremal Optimization
• Evolutionary Dynamics of Extremal Optimization
• A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing
• Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
• New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory
• Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
• Flexible Stochastic Local Search for Haplotype Inference
• A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance
• Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem
• An ACO-Based Reactive Framework for Ant Colony Optimization: First Experiments on Constraint Satisfaction Problems
• Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines
• Position-Guided Tabu Search Algorithm for the Graph Coloring Problem
• Corridor Selection and Fine Tuning for the Corridor Method
• Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms
• Comparison of Coarsening Schemes for Multilevel Graph Partitioning
• Cooperative Strategies and Reactive Search: A Hybrid Model Proposal
• Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems
• MALIOB Workshop Papers
• Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
• A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
• Substitution Matrices and Mutual Information Approaches to Modeling Evolution.

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Learning and Intelligent Optimization, LION 2009 III, held in Trento, Italy, in January 2009. The 15 revised full papers, one extended abstract and two poster sessions were carefully reviewed and selected from 86 submissions for inclusion in the book. The papers cover current issues of stochastic local search methods and meta-heuristics, hybridizations of constraint and mathematical programming with meta-heuristics, supervised, unsupervised and reinforcement learning applied to heuristic search, reactive search (online self-tuning methods), algorithm portfolios and off-line tuning methods, algorithms for dynamic, stochastic and multi-objective problems, interface(s) between discrete and continuous optimization, experimental analysis and modeling of algorithms, theoretical foundations, parallelization of optimization algorithms, memory-based optimization, prohibition-based methods (tabu search), memetic algorithms, evolutionary algorithms, dynamic local search, iterated local search, variable neighborhood search and swarm intelligence methods (ant colony optimization, particle swarm optimization etc.).

• Biological and Quantum Computing
• Intelligent Computing in Bioinformatics
• Computational Genomics and Proteomics
• Intelligent Computing in Signal Processing
• Intelligent Computing in Pattern Recognition
• Intelligent Computing in Communication
• Intelligent Agent and Web Applications
• Intelligent Fault Diagnosis
• Intelligent Control and Automation
• Intelligent Data Fusion and Security
• Intelligent Prediction and Time Series Analysis
• Natural Language Processing and Expert Systems
• Intelligent Image/Document Retrievals
• Network-Based Intelligence and Automation
• Intelligent Robot Systems Based on Vision Technology
• Computational Intelligence for Image Analysis.

This book - in conjunction with the two volumes "CCIS 0015" and "LNAI 5226" - constitutes the refereed proceedings of the 4th International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China, in September 2008. The 152 revised full papers of this volume were carefully reviewed and selected from a total of 2336 submissions.The papers are organized in topical sections on biological and quantum computing, intelligent computing in bioinformatics, computational genomics and proteomics, intelligent computing in signal processing, intelligent computing in pattern recognition, intelligent computing in communication, intelligent agent and web applications, intelligent fault diagnosis, intelligent control and automation, intelligent data fusion and security, intelligent prediction and time series analysis, natural language processing and expert systems, intelligent image/document retrievals, network-based intelligence and automation, intelligent robot systems based on vision technology, and computational intelligence for image analysis.
(source: Nielsen Book Data)

• Quantum interaction and revolve around four themes: information processing/retrieval/semantic representation and logic
• Cognition and decision making.-Finance/economics and social structures
• Biological systems.

This book constitutes the refereed proceedings of the 7th International Conference on Quantum Interaction, QI 2013, held in Leicester, UK, in July 2013. The 31 papers presented in this book were carefully selected from numerous submissions. The papers cover various topics on quantum interaction and revolve around four themes: information processing/retrieval/semantic representation and logic; cognition and decision making; finance/economics and social structures; and biological systems.

• pt. II: Multi-agent systems I ; New algorithms and applications ; Semantic, ontologies ; Distributed systems I ; Multi-agent system II ; Genetic algorithms ; Real time and parallel systems ; Neural networks ; Models for soft computing, applications and advances ; New Intelligent and distributed computing solutions for manufacturing systems ; Development metodologies of web service ; Applications ; Distributed systems II ; Data mining and data classification ; Applications II ; Knowledge discovery, reasoning, meta-learning ; Applications III. Communications and image processing ; Data/information management on large-scale distributed environments ; Home care applications 1, 2 ; Medical applications ; Adaptable models ; AI techniques ; Applied technologies 1, 2 ; Frameworks and platforms ; Theoretical approaches ; Text mining ; Microarrays ; Cluster ; Pattern recognition ; Systems biology ; Bioinformatic applications ; Phylogenetic ; Proteins ; Soco. 1, 2, 3.

This volume presents the set of final accepted papers for the tenth edition of the IWANN conference "International Work-Conference on Artificial neural Networks" held in Salamanca (Spain) during June 10-12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.
(source: Nielsen Book Data)

• Information Theory. Two New Results for Identification for Sources / Christian Heup
• L-Identification for Uniformly Distributed Sources and the q-ary Identification Entropy of Second Order / Christian Heup
• Optimal Rate Region of Two-Hop Multiple Access Channel via Amplify-and-Forward Scheme / Binyue Liu, Ning Cai
• Strong Secrecy for Multiple Access Channels / Moritz Wiese, Holger Boche
• Capacity Results for Arbitrarily Varying Wiretap Channels / Igor Bjelaković, Holger Boche, Jochen Sommerfeld
• On Oblivious Transfer Capacity / Rudolf Ahlswede, Imre Csiszár
• Achieving Net Feedback Gain in the Linear-Deterministic Butterfly Network with a Full-Duplex Relay / Anas Chaaban, Aydin Sezgin, Daniela Tuninetti
• Uniformly Generating Origin Destination Tables / David M. Einstein, Lee K. Jones
• Identification via Quantum Channels / Andreas Winter
• Classical-Quantum Arbitrarily Varying Wiretap Channel / Vladimir Blinovsky, Minglai Cai
• Arbitrarily Varying and Compound Classical-Quantum Channels and a Note on Quantum Zero-Error Capacities / Igor Bjelakovic [and others].

• On the Value of Multiple Read/Write Streams for Data Compression / Travis Gagie
• How to Read a Randomly Mixed Up Message / Matthias Löwe
• Multiple Objects: Error Exponents in Hypotheses Testing and Identification / Evgueni Haroutunian, Parandzem Hakobyan
• Combinatorics. Family Complexity and VC-Dimension / Christian Mauduit, András Sárközy
• The Restricted Word Shadow Problem / Rudolf Ahlswede, Vladimir Lebedev
• Mixed Orthogonal Arrays, k-Dimensional M-Part Sperner Multifamilies, and Full Multitransversals / Harout Aydinian, Éva Czabarka, László A. Székely
• Generic Algorithms for Factoring Strings / David E. Daykin, Jacqueline W. Daykin, Costas S. Iliopoulos, W.F. Smyth
• On Data Recovery in Distributed Databases / Sergei L. Bezrukov, Uwe Leck, Victor P. Piotrowski
• An Unstable Hypergraph Problem with a Unique Optimal Solution / Carlos Hoppen, Yoshiharu Kohayakawa, Hanno Lefmann
• Multiparty Communication Complexity of Vector-Valued and Sum-Type Functions / Ulrich Tamm
• Threshold Functions for Distinct Parts: Revisiting Erdős-Lehner / Éva Czabarka, Matteo Marsili, László A. Székely.

• On Some Structural Properties of Star and Pancake Graphs / Elena Konstantinova
• Search Theory. Threshold and Majority Group Testing / Rudolf Ahlswede, Christian Deppe, Vladimir Lebedev
• Superimposed Codes and Threshold Group Testing / Arkadii D'yachkov [and others]
• New Construction of Error-Tolerant Pooling Designs / Rudolf Ahlswede, Harout Aydinian
• Density-Based Group Testing / Dániel Gerbner [and others]
• Group Testing with Multiple Mutually-Obscuring Positives / Hong-Bin Chen, Hung-Lin Fu
• An Efficient Algorithm for Combinatorial Group Testing / Andreas Allemann
• Randomized Post-optimization for t-Restrictions / Charles J. Colbourn, Peyman Nayeri
• Search for Sparse Active Inputs: A Review / Mikhail Malyutov
• Search When the Lie Depends on the Target / Gyula O.H. Katona, Krisztián Tichler
• A Heuristic Solution of a Cutting Problem Using Hypergraphs / Christian Deppe, Christian Wischmann
• Remarks on History and Presence of Game Tree Search and Research / Ingo Althöfer
• Multiplied Complete Fix-Free Codes and Shiftings Regarding the 3/4-Conjecture / Michael Bodewig
• Creating Order and Ballot Sequences / Ulrich Tamm.

This volume is dedicated to the memory of Rudolf Ahlswede, who passed away in December 2010. The Festschrift contains 36 thoroughly refereed research papers from a memorial symposium, which took place in July 2011. The four macro-topics of this workshop: theory of games and strategic planning; combinatorial group testing and database mining; computational biology and string matching; information coding and spreading and patrolling on networks; provide a comprehensive picture of the vision Rudolf Ahlswede put forward of a broad and systematic theory of search.

• The Biological Interaction Stability Problem / Zvi Retchkiman Konigsberg
• Population-Based Incremental with Adaptive Learning Rate Strategy / Komla A. Folly
• A SI-Based Algorithm for Structural Damage Detection / Ling Yu, Peng Xu and Xi Chen
• A Quantum-inspired Bacterial Swarming Optimization Algorithm for Discrete Optimization Problems / Jinlong Cao and Hongyuan Gao
• Swarm Intelligence in Cloud Environment / Anirban Kundu and Chunlin Ji
• Swarm Intelligence Supported e-Remanufacturing / Bo Xing, Wen-Jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle and Tshilidzi Marwala
• Grey-Based Particle Swarm Optimization Algorithm / Ming-Feng Yeh, Cheng Wen and Min-Shyang Leu
• Quantum-Behaved Particle Swarm Optimization Algorithm Based on Border Mutation and Chaos for Vehicle Routing Problem / Ya Li, Dan Li and Dong Wang
• An Improved MOPSO with a Crowding Distance Based External Archive Maintenance Strategy / Wei-xing Li, Qian Zhou, Yu Zhu and Feng Pan
• Exponential Inertia Weight for Particle Swarm Optimization / T.O. Ting, Yuhui Shi, Shi Cheng and Sanghyuk Lee
• A Coevolutionary Memetic Particle Swarm Optimizer / Jiarui Zhou, Zhen Ji, Zexuan Zhu and Siping Chen
• Handling Multi-optimization with Gender-Hierarchy Based Particle Swarm Optimizer / Wei Wei, Weihui Zhang, Yuan Jiang and Hao Li
• The Comparative Study of Different Number of Particles in Clustering Based on Two-Layer Particle Swarm Optimization / Guoliang Huang, Xinling Shi and Zhenzhou An.

• Improved Particle Swarm Optimization with Wavelet-Based Mutation Operation / Yubo Tian, Donghui Gao and Xiaolong Li
• Elastic Boundary for Particle Swarm Optimization / Yuhong Chi, Fuchun Sun, Langfan Jiang, Chunming Yu and Ping Zhang
• Optimization Locations of Wind Turbines with the Particle Swarm Optimization / Ming-Tang Tsai and Szu-Wzi Wu
• A PSO-Based Algorithm for Load Balancing in Virtual Machines of Cloud Computing Environment / Zhanghui Liu and Xiaoli Wang
• Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm / Xiufang Lin, Jun Sun, Vasile Palade, Wei Fang and Xiaojun Wu, et al.
• Research on Improved Model of Loans Portfolio Optimization Based on Adaptive Particle Swarm Optimization Algorithm / Ying Sun and Yue-lin Gao
• High-Dimension Optimization Problems Using Specified Particle Swarm Optimization / Penchen Chou
• A Novel Simple Candidate Set Method for Symmetric TSP and Its Application in MAX-MIN Ant System / Miao Deng, Jihong Zhang, Yongsheng Liang, Guangming Lin and Wei Liu
• Parallel Max-Min Ant System Using MapReduce / Qing Tan, Qing He and Zhongzhi Shi
• Parallel Implementation of Ant-Based Clustering Algorithm Based on Hadoop / Yan Yang, Xianhua Ni, Hongjun Wang and Yiteng Zhao
• Ant Colony Algorithm for Surgery Scheduling Problem / Jiao Yin and Wei Xiang
• A Method for Avoiding the Feedback Searching Bias in Ant Colony Optimization / Bolun Chen and Ling Chen
• Novel Binary Biogeography-Based Optimization Algorithm for the Knapsack Problem / BiBingyan Zhao, Changshou Deng, Yanling Yang and Hu Peng.

• Path Planning Based on Voronoi Diagram and Biogeography-Based Optimization / Ning Huang, Gang Liu and Bing He
• Unconscious Search -- A New Structured Search Algorithm for Solving Continuous Engineering Optimization Problems Based on the Theory of Psychoanalysis / Ehsan Ardjmand and Mohammad Reza Amin-Naseri
• Brain Storm Optimization Algorithm with Modified Step-Size and Individual Generation / Dadian Zhou, Yuhui Shi and Shi Cheng
• Group Search Optimizer for Power System Economic Dispatch / Huilian Liao, Haoyong Chen, Qinghua Wu, Masoud Bazargan and Zhen Ji
• An Improved Bean Optimization Algorithm for Solving TSP / Xiaoming Zhang, Kang Jiang, Hailei Wang, Wenbo Li and Bingyu Sun
• Cloud Droplets Evolutionary Algorithm on Reciprocity Mechanism for Function Optimization / Lei Wang, Wei Li, Rong Fei and Xinghong Hei
• A Filter and Fan Based Algorithm for Slab Rehandling Problem in MPA of Steel Industry / Xu Cheng and Lixin Tang
• An Improved Artificial Immune Recognition System Based on the Average Scatter Matrix Trace Criterion / Xiaoyang Fu and Shuqing Zhang
• A Danger Feature Based Negative Selection Algorithm / Pengtao Zhang and Ying Tan
• Alpha Matting Using Artificial Immune Network / Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen and Ruichu Cai
• Forecasting Mineral Commodity Prices with Multidimensional Grey Metabolism Markov Chain / Yong Li, Nailian Hu and Daogui Chen
• A Web-Service for Automated Software Refactoring Using Artificial Bee Colony Optimization / Ekin Koc, Nur Ersoy, Zelal Seda Camlidere and Hurevren Kilic.

• An Improved Artificial Bee Colony Algorithm Based on Gaussian Mutation and Chaos Disturbance / Xiaoya Cheng and Mingyan Jiang
• An Artificial Bee Colony Algorithm Approach for Routing in VLSI / Hao Zhang and Dongyi Ye
• A Differentiating Evolutionary Computation Approach for the Multidimensional Knapsack Problem / Meysam Mohagheghi Fard, Yoon-Teck Bau and Chien-Le Goh
• Ensemble of Clearing Differential Evolution for Multi-modal Optimization / Boyang Qu, Jing Liang, Ponnuthurai Nagaratnam Suganthan and Tiejun Chen
• Memetic Differential Evolution for Vehicle Routing Problem with Time Windows / Wanfeng Liu, Xu Wang and Xia Li
• Advances in Differential Evolution for Solving Multiobjective Optimization Problems / Hongtao Ye, Meifang Zhou and Yan Wu
• Fast Mixed Strategy Differential Evolution Using Effective Mutant Vector Pool / Hao Liu, Han Huang, Yingjun Wu and Zhenhua Huang
• Differential Annealing for Global Optimization / Yongwei Zhang, Lei Wang and Qidi Wu
• The Application of Genetic Algorithm to Intrusion Detection in MP2P Network / Lu Li, Guoyin Zhang, Jinyuan Nie, Yingjiao Niu and Aihong Yao
• Mining the Role-Oriented Process Models Based on Genetic Algorithm / Weidong Zhao, Qinhe Lin, Yue Shi and Xiaochun Fang
• Image Retrieval Based on GA Integrated Color Vector Quantization and Curvelet Transform / Yungang Zhang, Tianwei Xu and Wei Gao
• Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator / Eugene Semenkin and Maria Semenkina.

• Fitness Function Based on Binding and Recall Rate for Genetic Inductive Logic Programming / Yanjuan Li and Maozu Guo
• LMI-Based Lagrange Stability of CGNNs with General Activation Functions and Mixed Delays / Xiaohong Wang and Huan Qi
• Research of Triple Inverted Pendulum Based on Neural Network of Genetic Algorithm / Xiaoping Huang, Ying Zhang and Junlong Zheng
• Evolving Neural Network Using Hybrid Genetic Algorithm and Simulated Annealing for Rainfall-Runoff Forecasting / Hong Ding, Jiansheng Wu and Xianghui Li
• Multistep Fuzzy Classifier Forming with Cooperative-Competitive Coevolutionary Algorithm / Roman Sergienko and Eugene Semenkin
• Particle Swarm Optimize Fuzzy Logic Memberships of AC-Drive / Nasseer K. Bachache and Jinyu Wen
• The Application of a Hybrid Algorithm to the Submersible Path-Planning / Chongyang Lv, Fei Yu, Na Yang, Jin Feng and Meikui Zou
• Memetic Three-Dimensional Gabor Feature Extraction for Hyperspectral Imagery Classification / Zexuan Zhu, Linlin Shen, Yiwen Sun, Shan He and Zhen Ji
• A Simple and Effective Immune Particle Swarm Optimization Algorithm / Wei Jiao, Weimin Cheng, Mei Zhang and Tianli Song
• A Novel Two-Level Hybrid Algorithm for Multiple Traveling Salesman Problems / Qingsheng Yu, Dong Wang, Dongmei Lin, Ya Li and Chen Wu
• On the Performance Metrics of Multiobjective Optimization / Shi Cheng, Yuhui Shi and Quande Qin.

• Brain Storm Optimization Algorithm for Multi-objective Optimization Problems / Jingqian Xue, Yali Wu, Yuhui Shi and Shi Cheng
• Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Problems / Ying Qiao
• A Multi-objective Mapping Strategy for Application Specific Emesh Network-on-Chip (NoC) / Bixia Zhang, Huaxi Gu, Sulei Tian and Bin Li
• Binary Nearest Neighbor Classification of Predicting Pareto Dominance in Multi-objective Optimization / Guanqi Guo, Cheng Yin, Taishan Yan and Wenbin Li
• Multi-objective Evolutionary Algorithm Based on Layer Strategy / Sen Zhao, Zhifeng Hao, Shusen Liu, Weidi Xu and Han Huang
• Priority Based Multi Robot Task Assignment / Rahul Goyal, Tushar Sharma and Ritu Tiwari
• A Survey of Swarm Robotics System / Zhiguo Shi, Jun Tu, Qiao Zhang, Lei Liu and Junming Wei
• Levels of Realism for Cooperative Multi-Agent Reinforcement Learning / Bryan Cunningham and Yong Cao
• Research of Tourism Service System Base on Multi-Agent Negotiation / Youqun Shi, Cheng Tang, Henggao Wu and Xinyu Liu
• Distributed Model Predictive Control of the Multi-agent Systems with Communication Distance Constraints / Shanbi Wei, Yi Chai, Hongpeng Yin and Penghua Li
• Research on Human -- Robot Collaboration in Rescue Robotics / Haibo Tong, Rubo Zhang and Guanqun Liu
• Development of Visual Action Design Environment for Intelligent Toy Robot / Jianqing Mo, Hanwu He and Hong Zhang.

This book and its companion volume, LNCS vols. 7331 and 7332, constitute the proceedings of the Third International Conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 revised full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics of swarm intelligence research and developments.