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- EvoApplications (Conference) (26th : 2023 : Brno, Czech Republic ; Online)
- Cham : Springer, 2023.
- Description
- Book — 1 online resource (xx, 817 pages) : illustrations (some color).
- Summary
-
- Applications of Evolutionary Computation
- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
- Computational Intelligence for Sustainability
- Evolutionary Computation in Edge, Fog, and Cloud Computing
- Evolutionary Machine Learning
- Machine Learning and AI in Digital Healthcare and Personalized Medicine
- Resilient Bio-Inspired Algorithms
- Soft Computing applied to Games
- Surrogate-Assisted Evolutionary Optimisation.
- EvoMUSART (Conference) (12th : 2023 : Brno, Czech Republic)
- Cham : Springer, 2023.
- Description
- Book — 1 online resource (xi, 430 pages) : illustrations (some color).
- Summary
-
- Long Talks
- LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature
- Chordal embeddings based on topology of the tonal space
- Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs
- Automatically Adding to Artistic Cultures
- Extending Generative Neo-Riemannian Theory for Event-based Soundtrack Production
- Is beauty in the age of the beholder
- Extending the Visual Arts experience: Sonifying Paintings with AI
- Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio
- AI-rmonies of the Spheres
- SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders
- SketchSynth: cross-modal control of sound synthesis
- Towards the Evolution of Prompts with MetaPrompter
- Is Writing Prompts Really Making Art
- Using GPT-3 to achieve semantically relevant data sonificiation for an art installation
- Using Autoencoders to Generate Skeleton-based Typography
- Visual Representation of the Internet Consumption in the European Union
- GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers
- Artistic Curve Steganography Carried by Musical Audio
- LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation
- Searching For Human Bias Against AI-Composed Music
- Short Talks
- Fabric Sketch Augmentation & Styling via Deep Learning & Image Synthesis
- Transposition of Simple Waveforms from Raw Audio with Deep Learning
- AI-aided Ceramic Sculptures: Bridging Deep Learning with Materiality
- OSC-Qasm: Interfacing Music Software with Quantum Computing
- EvoDesigner: Aiding the exploration of innovative graphic design solutions
- Improving Automatic Music Genre Classification Systems by Using Descriptive Statistical Features of Audio Signals
- Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments.
- WIVACE (Workshop) (16th : 2022 : Gaeta, Italy)
- Cham : Springer, 2023.
- Description
- Book — 1 online resource (x, 304 pages) : illustrations (some color).
- Summary
-
- Networks and Complex systems
- Collaborative learning over Cellular Automata
- An agent-based model for crowd simulation
- Chemical Neural Networks and Semantic Information investigated through Synthetic Cells
- Spread of perturbations in supply chain networks: the effect of the bow-tie organization on the resilience of the global automotive system
- An efficient implementation of Flux Variability Analysis for metabolic networks
- Exploring the solution space of cancer evolution inference frameworks for single-cell sequencing data
- Computational investigation of the clustering of droplets in widening pipe geometries
- Network Creation During Agglomeration Processes of Polydisperse and Monodisperse Systems of Droplets
- Artificial Chemistry Performed in an Agglomeration of Droplets with Restricted Molecule Transfer
- Modelling wet-dry cycles in the binary polymer model
- On the growth of chemical diversity
- Kernel-based early fusion of structure and attribute information for detecting communities in attributed networks
- Cultural Innovation Triggers Inequality in a Sharing Economy
- Metaheuristics, robotics, and machine learning
- Online adaptation of robots controlled by nanowire networks: A preliminary study
- The role of dynamical regimes of online adaptive BN-robots in noisy environments
- A novel evolutionary approach for Neural Architecture Search
- Single and Multi-objective Genetic Programming Methods for Prediction Intervals
- Green design of Single Frequency Networks by Multiband Robustness and a hybrid metaheuristic
- WanDa: A Mobile Application to Prevent Wandering
- Magnetic Devices Behavioral Modeling based on Genetic Programming and Neural Networks
- Evolutionary Stitching of Plot Units with Character Threads
- Impact of Morphology Variations on Evolved Neural Controllers for Modular Robots
- EGSGP: an Ensemble System Based on Geometric Semantic Genetic Programming
- Real-time monitoring tool for SNN hardware architecture.
- International Conference on Bio-inspired Computing, Theories and Applications (17th : 2022 : Wuhan, China)
- Singapore : Springer, 2023.
- Description
- Book — 1 online resource (709 pages) : illustrations (black and white).
- Summary
-
- Evolutionary Computation & Swarm Intelligence
- Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study
- Research on Multi-modal Multi-Objective Path Planning by Improved Ant Colony Algorithm
- Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm
- A Multi-Objective Particle Swarm Algorithm Based on a Preference Strategy
- An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation
- S-Plane Controller Parameter Tuning Based on IAFSA for UUV
- A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling
- Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay
- Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm
- A Self-Adaptive Single-objective Multitasking Optimization Algorithm
- Improved Whale Optimization Algorithm by Multi-mechanism Fusion
- Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment
- An Improved Chaos-based Particle Swarm Optimization Algorithm
- Task Location Distribution based Genetic Algorithm for UAV Mobile Crowd Sensing
- The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search An Empirical Perspective
- Research on Unmanned Ship Collision Avoidance Algorithm based on Improved Particle Swarm Pptimization Algorithm
- Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism
- A Comparison of Large-scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation
- Enabling Surrogate-assisted Evolutionary Reinforcement Learning via Policy Embedding
- An Improved MPCA Algorithm with Weight Matrix Based on Many-objective Optimization
- Machine Learning & Deep Learning
- Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm
- Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning
- A Review On Bio-inspired Fluid Mechanics Via Deep Reinforcement Learning
- Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing
- Continual Learning with a Memory of Non-similar Samples
- Research on Soil Moisture Prediction Based on LSTM-Transformer Model
- Graph Contrastive Learning with Intrinsic Augmentations
- Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm
- OCET: One-dimensional Convolution Embedding Transformer for Stock Trend Prediction
- A Rapid, Precise Spiking Neural Network Approach for Image Recognition
- Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior
- Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing
- Swing-up and Balance Control of Cart-pole Based on Reinforcement Learning DDPG
- Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion
- Intelligent Control & Simulation
- Multi-UUV Formation Cooperative Full-area Coverage Search Method
- Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship
- Research on Course Control Algorithm of Unmanned Craft based on Model Predictive Control
- Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment
- Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay
- The Research of the Consistency Control under The Condition of Time-lag of Isomerism AUV Group Communication
- Non-uniform Deformation Behavior of Magneto-sensitive Elastomer Containing Uniform Sphere Particles with V Arrangement
- Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation based on the Social Force Model
- A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting
- Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID
- Flexible Formation Control of Multiple Unmanned Vehicles based on Artificial Potential Field Method
- Local Path Planning Combined with the Motion State of Dynamic Obstacles
- Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady States
- Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure
- Molecular Computing & Nanotechnology
- Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures
- Diffusion Optimization Algorithm Based on Membrane Calculation
- Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks
- A Sensitive Nanothermometer Based on DNA Triplex Structure
- Microwave Absorption Properties of Double-layer Absorbing Material Based on Carbonyl Iron and Graphene Composites
- Reconfigurable Nanobook Structure Driven by Polymerase-triggered DNA Strand Displacement
- An Analysis for Thermal Conductivity of Graphene/polymer Nanocomposites
- Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction.
- Jin, Yaochu, 1966- author.
- Singapore : Springer, 2023
- Description
- Book — 1 online resource (304 pages) : illustrations (black and white, and color)
- Summary
-
- Computational Models of Evolution and Development
- Analysis of Gene Regulatory Networks
- Evolutionary Synthesis of Gene Regulatory Dynamics
- Evolution of Morphological Development
- Evolution of Neural Development
- Computational Brain-Body Co-Evolution
- Evolutionary Morphogenetic Self-Organization of Swarm Robots
- Towards Evolutionary Developmental Systems
- EvoCOP (Conference) (23rd : 2023 : Brno, Czech Republic)
- Cham : Springer, 2023.
- Description
- Book — 1 online resource (xiv, 245 pages) : illustrations (some color).
- Summary
-
- Fairer comparisons for Travelling Salesman Problem solutions using Hash Functions
- Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries
- Real-World Vehicle Routing using Adaptive Large Neighborhood Search
- A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning
- A memetic algorithm for deinterleaving pulse trains
- Application of Negative Learning Ant Colony Optimization to the Far From Most String Problem
- Monte Carlo Tree Search with Adaptive Simulation: a Case Study on Weighted Vertex Coloring
- Evolutionary Strategies for the Design of Binary Linear Codes
- A Policy-Based Learning Beam Search for Combinatorial Optimization
- Cooperative Coevolutionary Genetic Programming Hyper Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
- OneMax is not the Easiest Function for Fitness Improvements
- The Cost of Randomness in Evolutionary Algorithms: Crossover Can Save Random Bits
- Multi-objectivization Relaxes Multi-funnel Structures in Singleobjective NK-landscapes
- Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
- On the e_ect of solution representation and neighborhood definition in AutoML Fitness Landscapes.
- Feng, Liang.
- Singapore : Springer, 2023.
- Description
- Book — 1 online resource (220 p.).
- Summary
-
- Intro
- Preface
- Contents
- Part I Background
- 1 Introduction
- 1.1 Optimization
- 1.2 Evolutionary Optimization
- 1.3 Evolutionary Multi-Task Optimization
- 1.4 Organization of the Book
- 2 Overview and Application-Driven Motivations of Evolutionary Multitasking
- 2.1 An Overview of EMT Algorithms
- 2.2 EMT in Real-World Problems
- 2.2.1 Category 1: EMT in Data Science Pipelines
- 2.2.2 Category 2: EMT in Evolving Embodied Intelligence
- 2.2.3 Category 3: EMT in Unmanned Systems Planning
- 2.2.4 Category 4: EMT in Complex Design
- 2.2.5 Category 5: EMT in Manufacturing, Operations Research
- 2.2.6 Category 6: EMT in Software and Services Computing
- Part II Evolutionary Multi-Task Optimization for Solving Continuous Optimization Problems
- 3 The Multi-Factorial Evolutionary Algorithm
- 3.1 Algorithm Design and Details
- 3.1.1 Multi-Factorial Optimization
- 3.1.2 Similarity and Difference Between Multi-factorial Optimization and Multi-Objective Optimization
- 3.1.3 The Multi-Factorial Evolutionary Algorithm
- 3.1.3.1 Population Initialization
- 3.1.3.2 Genetic Mechanisms
- 3.1.3.3 Selective Evaluation
- 3.1.3.4 Selection Operation
- 3.1.3.5 Summarizing the Salient Features of the MFEA
- 3.2 Empirical Study
- 3.2.1 Multitasking Across Functions with Intersecting Optima
- 3.2.2 Multitasking Across Functions with Separated Optima
- 3.2.3 Discussions
- 3.3 Summary
- 4 Multi-Factorial Evolutionary Algorithm with Adaptive Knowledge Transfer
- 4.1 Algorithm Design and Details
- 4.1.1 Representative Crossover Operators for Continuous Optimization
- 4.1.2 Knowledge Transfer via Different Crossover Operators in MFEA
- 4.1.3 MFEA with Adaptive Knowledge Transfer
- 4.1.3.1 Adaptive Assortative Mating and Adaptive Vertical Cultural Transmission
- 4.1.3.2 Adaptation of Transfer Crossover Indicators
- 4.2 Empirical Study
- 4.2.1 Experimental Setup
- 4.2.2 Performance Metric
- 4.2.3 Results and Discussions
- 4.2.3.1 Common Multi-Task Benchmarks
- 4.2.3.2 Complex Multi-Task Problems
- 4.2.4 Other Issues
- 4.3 Summary
- 5 Explicit Evolutionary Multi-Task Optimization Algorithm
- 5.1 Algorithm Design and Details
- 5.1.1 Denoising Autoencoder
- 5.1.2 The Explicit EMT Paradigm
- 5.1.2.1 Learning of Task Mapping
- 5.1.2.2 Explicit Genetic Transfer Across Tasks
- 5.2 Empirical Study
- 5.2.1 Single-Objective Multi-Task Optimization
- 5.2.1.1 Experiment Setup
- 5.2.1.2 Results and Discussions
- 5.2.2 Multi-Objective Multi-Task Optimization
- 5.2.2.1 Experiment Setup
- 5.2.2.2 Results and Discussions
- 5.3 Summary
- Part III Evolutionary Multi-Task Optimization for Solving Combinatorial Optimization Problems
- 6 Evolutionary Multi-Task Optimization for Generalized Vehicle Routing Problem with Occasional Drivers
- EvoApplications (Conference) (25th : 2022 : Madrid, Spain)
- Cham, Switzerland : Springer, 2022.
- Description
- Book — 1 online resource (1 volume) : illustrations (black and white).
- Summary
-
- Intro
- Preface
- Organization
- Contents
- Applications of Evolutionary Computation
- An Enhanced Opposition-Based Evolutionary Feature Selection Approach
- 1 Introduction
- 2 Moth Flame Optimization
- 2.1 Binary Moth Flame Optimization
- 2.2 Binary Moth Flame Optimization for Feature Selection
- 3 The Proposed Approach
- 3.1 Initialization Using Opposition-Based Method
- 3.2 Retiring Flame
- 4 Experimental Setup and Results
- 5 Conclusions
- References
- A Methodology for Determining Ion Channels from Membrane Potential Neuronal Recordings
- 1 Introduction
- 2 Conductance-Based Model Description
- 3 Defining a Benchmark with Known Types of Ion Channels
- 4 Methodology and Experimental Setup
- 5 Experimental Results
- 6 Conclusions
- A Mathematical Description of the Models
- B Experimental Setup and Parameter Ranges
- References
- Swarm Optimised Few-View Binary Tomography
- 1 Introduction
- 2 Binary Tomographic Reconstruction
- 3 Swarm Optimisation
- 4 Constrained Search in High Dimensions
- 5 Reconstructions
- 6 Results
- 7 Discussion
- 8 Conclusions
- References
- Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization
- 1 Introduction
- 2 The Metaheuristics Studied
- 2.1 Basin Hopping
- 2.2 Differential Evolution
- 2.3 Particle Swarm Optimization
- 3 The Benchmarking Environment
- 4 Experimental Setup
- 5 Experimental Results
- 6 Conclusions
- References
- Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models
- 1 Introduction
- 2 Methodology
- 2.1 Structured Grammatical Evolution
- 2.2 Random Structured Grammatical Evolution for Symbolic Regression Problems
- 3 Experimental Setup
- 3.1 Study Problems
- 3.2 Configuration of the Algorithms
- 4 Results
- 5 Conclusions
- References
- EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 4 Framework Overview
- 4.1 Parameters
- 4.2 Datasets
- 4.3 Clustering with EvoCluster
- 4.4 Classification
- 4.5 Evaluation Measures
- 4.6 Results Management
- 5 Experiments and Visualizations
- 6 Conclusion and Future Works
- References
- Evolution of Acoustic Logic Gates in Granular Metamaterials
- 1 Introduction
- 2 Problem Statement
- 3 Simulation Setup
- 3.1 2D Granular Simulator
- 3.2 Optimization Method
- 4 Results and Discussion
- 4.1 Evolution of an Acoustic Band Gap
- 4.2 Evolving an AND Gate
- 4.3 Evolving an XOR Gate
- 5 Conclusion and Future Work
- References
- Public-Private Partnership: Evolutionary Algorithms as a Solution to Information Asymmetry
- 1 Introduction
- 2 The Problem
- 3 Proposed Approach
- 3.1 The Model
- 3.2 Data
- 3.3 Adversarial Optimization
- 3.4 Operator (EA1)
- 3.5 Public Administration (EA2)
- 4 Experimental Evaluation
(source: Nielsen Book Data)
- International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (6th : 2020 : Online)
- Singapore : Springer, [2022]
- Description
- Book — 1 online resource : illustrations (chiefly color) Digital: text file.PDF.
- Summary
-
- Chapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm.-
- Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques.-
- Chapter 3. Multilevel Inverter based STATCOM for Distribution System.-
- Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors.-
- Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power.-
- Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization.-
- Chapter 7. Eco-Routing - To Reduce Vehicle CO2 Emissions by CACC: An IoT Application.-
- Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero.-
- Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller.-
- Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics.-
- Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram.-
- Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects.-
- Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks.-
- Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture.-
- Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- EvoMUSART (Conference) (11th : 2022 : Madrid, Spain)
- Cham, Switzerland : Springer, 2022.
- Description
- Book — 1 online resource (1 volume) : illustrations (black and white).
- Summary
-
- Intro
- Preface
- Organization
- Contents
- Long Talks
- SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms
- 1 Introduction
- 2 Related Work
- 3 Methodology and System Overview
- 4 Experimental Study
- 4.1 Experimental Setup
- 4.2 Experimental Analysis
- 5 Conclusion and Future Work
- References
- A Systematic Evaluation of GPT-2-Based Music Generation
- 1 Introduction
- 2 Background
- 2.1 GPT-2 Models
- 2.2 Representing Music Data for GPT-2 Input
- 2.3 Statistical Analysis of Generative Music Models
- 3 Musical Metrics
- 4 Dataset Curation
- 5 Evaluating Generative Model Output
- 5.1 Varying the Training Level
- 5.2 Varying the Training Corpus
- 6 Web Application
- 7 Conclusions and Future Work
- References
- Expressive Aliens
- Laban Effort Factors for Non-anthropomorphic Morphologies
- 1 Introduction
- 2 Background
- 2.1 Movement Qualities
- 2.2 Motion Synthesis
- 2.3 Anthropomorphic versus Non-anthropomorphic Characters
- 2.4 Physical Validity versus Expressivity
- 3 Implementation
- 3.1 Morphologies
- 3.2 SAC Algorithm
- 3.3 Observation Vector
- 3.4 Rewards
- 4 Training
- 5 Results
- 6 Discussion
- 7 Conclusion and Outlook
- References
- Painting with Evolutionary Algorithms
- 1 Introduction
- 2 Rearranging Brush Strokes
- 3 Algorithms
- 4 Experiment and Results
- 5 Extrapolation
- 6 Some Final Remarks
- References
- Evolutionary Construction of Stories that Combine Several Plot Lines
- 1 Introduction
- 2 Related Work
- 2.1 Plot Line Combination
- 2.2 Computational Metrics for Stories
- 2.3 Evolutionary Construction of Narratives
- 3 An Evolutionary Multiplot Story Composer
- 3.1 The Knowledge Resources
- 3.2 Character Fusion and Discourse Planning
- 3.3 Representing Multiplot Stories for Evolutionary Construction
- 3.4 Constructing an Initial Population
- 3.5 Evolutionary Operators
- 3.6 Fitness Functions
- 4 Discussion
- 4.1 Results
- 4.2 Relation with Previous Work
- 5 Conclusions
- References
- Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space
- 1 Introduction
- 2 Related Work
- 2.1 GANs
- 2.2 Fashion Styles
- 2.3 Evolutionary Search of GANs' Latent Space
- 3 Dataset
- 4 Model
- 4.1 Generative Model
- 4.2 Style Model
- 4.3 Evolutionary Search
- 5 Results
- 6 Discussion
- 7 Conclusion and Future Work
- References
- Classification of Guitar Effects and Extraction of Their Parameter Settings from Instrument Mixes Using Convolutional Neural Networks
- 1 Introduction
- 2 Method and Materials
- 2.1 Dataset for Guitar Effect Parameter Extraction
- 2.2 Dataset for Guitar Effect Classification
- 2.3 Time-Frequency Representations
- 2.4 Convolutional Neural Networks
- 2.5 Training and Evaluation
- 2.6 Baseline
- 2.7 Robustness Analysis
- 3 Results
- 3.1 Effect Classification
- 3.2 Effect Parameter Extraction
- 3.3 Robustness to Noise and Pitch Shifts
(source: Nielsen Book Data)
- WIVACE (Workshop) (15th : 2021 : Winterthur, Switzerland ; Online)
- Cham, Switzerland : Springer, 2022.
- Description
- Book — 1 online resource (xiii, 296 pages) : illustrations (some color)
- Summary
-
- Networks
- Dynamical criticality in growing networks
- Effective Resistance based Weight Thresholding for Community Detection
- An Oracle for the Optimization of Underconstrained Compositions of Neural Networks - The Tick Hazard Use Case
- Droplets, Fluids, and Synthetic Biology
- Obstacles on the Pathway towards Chemical Programmability using Agglomerations of Droplets
- The Good, the Bad and the Ugly: droplet recognition by a "shootout"-heuristics
- Exploring the three-dimensional arrangement of droplets
- Geometric restrictions to the agglomeration of spherical particles
- Effectiveness of Dynamic Load Balancing in Parallel Execution of a Subsurface Flow Cellular Automata Model
- Two possible AI-related paths for bottom-up synthetic cell research
- Robot Systems
- A hybrid control system architecture for a mobile robot to provide an energy-efficient and fast data processing
- On the evolution of mechanisms for collective decision making in a swarm of robots
- A novel online adaptation mechanism in artificial systems provides phenotypic plasticity
- Computer Vision and Computational Creativity
- Exploration of Genetic Algorithms and CNN for Melanoma Classification
- Using Genetic Algorithms to optimize a deep learning based system for the prediction of cognitive impairments
- Autonomous inspections of power towers with an UAV
- Self-organizing Maps of Artificial Neural Classifiers - a Brain like Pin Factory
- Evolutionary Music: Statistical Learning and Novelty for automatic improvisation
- Semantic Search
- ARISE: Artificial Intelligence Semantic Search Engine
- Artificial Medicine and Pharmacy
- Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-based Artificial Immune - Tumour-Ecosystem during and after Radiation Therapy
- Two-level detection of dynamic organization in cancer evolution models
- Artificial chemical neural network for drug discovery applications
- Trade and Finance
- Information Flow Simulations in Multi-Dimensional and Dynamic Systems
- Investigation of the Ramsey-Pierce-Bowman Model
- Ethics in Computational Modelling
- Ethical Aspects of Computational Modelling in Science, Decision Support and Communication.
- Cham, Switzerland : Springer, [2022]
- Description
- Book — 1 online resource (viii, 214 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling: An Introduction.- Evolutionary Approaches for Project Portfolio Optimization: An Overview.- An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization.- An Overall Characterization of the Project Portfolio Optimization Problem and an Approach Based on Evolutionary Algorithms to Address It.- A New Model for the Project Portfolio Selection and Scheduling Problem with Defence Capability Options.- Analysis of New Approaches used in Portfolio Optimization: A Systematic Literature Review.- A Temporal Knapsack Approach to Defence Portfolio Selection.- A Decision Support System for Planning Portfolios of Supply Chain Improvement Projects in the Semiconductor Industry.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- EvoCOP (Conference) (22nd : 2022 : Madrid, Spain)
- Cham, Switzerland : Springer, 2022.
- Description
- Book — 1 online resource (1 volume) : illustrations (black and white).
- Summary
-
- On Monte Carlo Tree Search for Weighted Vertex Coloring.- A RNN-based Hyper-heuristic for combinatorial problems.- Algorithm Selection for the Team Orienteering Problem.- Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances.- Deep Infeasibility Exploration Method for Vehicle Routing Problems.- Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem.- Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling.- Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.- A Beam Search for the Shortest Common Supersequence Problem Guided by an Approximate Expected Length Calculation.- Modeling the Costas Array Problem in QUBO for Quantum Annealing.- Penalty Weights in QUBO formulations: Permutation Problems.- PUBOi: a tunable benchmark with variable importance.- Stagnation Detection meets Fast Mutation.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
14. Evolutionary computation with intelligent systems : a multidisciplinary approach to society 5.0 [2022]
- First edition. - Boca Raton, FL : CRC Press, 2022.
- Description
- Book — 1 online resource (xvii, 305 pages) : illustrations.
- Summary
-
- SECTION A: Principles, Types, Theories, and Applications of Evolutionary Computation.
- 1. Evolutionary Computation for Optimized Solutions Towards Society 5
- .0.
- 2. Exploiting Machine Learning for Evolutionary Training of Machines.
- 3. Image Processing for Knowledge Management and Effective Information Extraction Through Optimization.
- 4. Evolutionary Computation Framework for Handling Resource Constraint Mobile Environments. SECTION B: Evolutionary Computation: Emerging Trends and Implications.
- 5. Smart Systems for Global Sustainability with Enhanced Computing.
- 6. Recommender System: Techniques for Optimized Decision Making.
- 7. Innovations in Healthcare Using Smart Systems Equipped with Evolutionary Computation.
- 8. Exploiting Evolutionary Computation Techniques for Service Industries. SECTION C: Next Generation Evolutionary Computation Techniques and Innovations.
- 9. Performance Analysis of Industrial Unit Using Evolutionary Computation Methods.
- 10. Reliability and Availability System Modeling with Evolutionary Computation Techniques.
- 11. Maintainability of System Through Evolutionary Computation Techniques.
- 12. Simulation and Analysis of Quadratic Assignment Problems Using Evolutionary. Computation. SECTION D: Evolutionary Computation for Society and Business Organizations.
- 13. Evolutionary Computation for Total Quality Management.
- 14. Consumer Behavior and Satisfaction Through Evolutionary Computation.
- 15. Decision Support System and Marketing Using Evolutionary Computation Techniques.
- 16. Performance Modeling and Optimization for the Stock Preparation with Evolutionary Computation.
- International Conference on Evolutionary Computing and Mobile Sustainable Networks (2021 : Bangalore, India).
- Singapore : Springer, [2022]
- Description
- Book — 1 online resource (1039 pages) : illustrations (chiefly color).
- Summary
-
- Improved Grey wolf Optimization based Feature selection and classification using CNN for Diabetic Retinopathy detection.- Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset.- Blood Cell Image Denoising based on Tunicate Rat Swarm Optimization with Median Filter.- A Hybrid Approach for Deep Noise Suppression using Deep Neural Networks.- Human Health Care Systems Analysis for Cloud Data Structure of Biometric System using ECG Analysis.- Data mining for Solving Medical Diagnostics Problems.- Classification of Diabetic Retinopathy using Ensemble of Machine Learning Classifiers with IDRID Dataset.- Epileptic Seizure Prediction Using Geometrical Features Extracted From HRV Signal.- An Extensive Survey on Outlier Prediction using Mining and Learning Approaches.- Performance Comparison of Data Security Strategies in Fog Computing.- Design and Simulation of a Direct-PSK Based Telecommand Receiver for Small Satellite
- Analysis of Data Aggregation and Clustering Protocol in Wireless Sensor Networks using Machine Learning.- DetecSec : A Framework to Detect and Mitigate ARP Cache Poisoning Attacks.- PAPR Reduction in SDR based OFDM System.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- International Conference on Genetic and Evolutionary Computing (14th : 2021 : Jilin, China)
- Singapore : Springer, [2022]
- Description
- Book — 1 online resource : illustrations (chiefly color). Digital: text file; PDF.
- Summary
-
- Swarm Intelligence and Its Applications.- Operational Technologies and Networked Multimedia Applications.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.- Recent Progress in Computational Electromagnetic Dynamics.- Future Cyber Security, Privacy and Forensics for Advanced systems.- Data Mining Techniques and its Applications.- Optimization Models in Deep Learning/Machine Learning.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- International Conference on Frontiers in Intelligent Computing: Theory and Applications (9th : 2021 : Mizoram, India)
- Singapore : Springer, 2022.
- Description
- Book — 1 online resource (xviii, 567 pages) : illustrations (some color).
- Summary
-
- Automated Flower Species Identification by using Deep convolution neural network
- Information Retrieval for Cloud Forensics
- Machine Translation System Combination with Enhanced Alignments using Word Embeddings
- Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
- Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture
- Usage of Block Chain Technology in e-Voting System using Private Block Chain
- Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning
- Deep Learning based Mosquito Species detection using Wingbeats frequencies
- Developments in Capsule Network Architecture: A Review
- Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives
- Image GPT with Super Resolution.
18. Nature in silico : population genetic simulation and its evolutionary interpretation using C++ and R [2022]
- Haasl, Ryan J., author.
- Cham : Springer, [2022]
- Description
- Book — 1 online resource (xviii, 313 pages) : illustrations
- Summary
-
- Amended draft Table of Contents
- 1.
- Introduction and relevance
- a.
- Who this book benefits
- b.
- Required background
- c.
- Review of population genetic/genomic simulation resources
- d.
- When to write your own simulations
- 2.
- Retrospective and prospective simulation
- a.
- Retrospective, coalescent simulation
- b.
- Prospective simulation
- c.
- Individual-based models
- 3.
- Data structures and computational efficiency
- a.
- Data structures
- b.
- Computer clusters
- c.
- Graphical processor units (GPU) programming
- Part I. Simulating the five factors that affect population dynamics and genetic diversity
- 4.
- Mutation
- a.
- Background and theory
- b.
- The bitset as a data structure for storing genetic sequence data
- c.
- Writing individual and population classes
- d.
- Common types of mutation
- i.
- Point mutations
- ii. Indels
- iii. Microsatellites
- iv. AFLPs
- e.
- Haplotypes
- 5.
- Population size and genetic drift
- a.
- Background and theory
- b.
- Fixation of alleles
- c.
- Demographic change: expansions and bottlenecks
- 6.
- Migration and population structure
- a.
- Background and theory
- b.
- Panmixia
- c.
- Isolation by barrier
- d.
- Isolation by distance
- e.
- Admixture
- f.
- Metapopulations
- 7.
- Meiotic recombination
- a.
- Background and theory
- b.
- Unlinked loci and independent assortment
- c.
- Linked loci and crossing-over
- d.
- Linked loci and gene conversion
- 8.
- Natural selection
- a.
- Background and theory
- b.
- Fitness
- c.
- Viability and fecundity selection
- d.
- Positive natural selection
- e.
- Purifying natural selection and background selection
- f.
- Frequency-dependent selection
- g.
- Assortative mating
- h.
- Selection on a protein-coding gene
- Part II. Adding biological and ecological realism
- 9.
- Implementing all five factors simultaneously
- a.
- A generation function: the order of things
- b.
- Birth and death
- c.
- Overlapping vs. non-overlapping generations
- d.
- Using coalescent simulation to obtain random starting populations
- 10. Modeling different life histories
- a.
- Ploidy
- b.
- Monoecious, dioecious, and hermaphroditic species
- 11. Spatially-explicit simulation
- a.
- Neutral evolution
- b.
- The impact of landscape on dispersal
- c.
- The impact of environment on fitness
- Part III. Statistical inference in population genetics
- 12. Calculating summary statistics and visualization
- a.
- Sequence-based summary statistics
- b.
- Locus-specific summary statistics
- c.
- Null distributions
- d.
- Visualizing simulated and empirical data
- 13. Approximate Bayesian computation: preliminaries
- a.
- Statistical and historical background
- b.
- Parameters
- c.
- Prior distributions
- d.
- Sufficient summary statistics
- e.
- Tolerance level
- f.
- The relevance of data type: SNPs, microsatellites, AFLPs
- 14. Approximate Bayesian computation: implementation
- a.
- Rejection algorithms
- b.
- Regression-based algorithms
- c.
- Markov Chain Monte Carlo algorithms
- d.
- Sequential Monte Carlo algorithms
- e.
- Hierarchical models
- f.
- Model selection
- g.
- Parameter estimation
- h.
- Marginal, joint, and conditional distributions
- i.
- Posterior predictive distributions and model validation
- j.
- When simulation is costly: Approximate approximate Bayesian computation
- Part IV. In-depth examples
- 15. Comparing simulated genetic data to 1000 Genomes data
- 16. The spread of the invasive species Japanese hops in the Upper Midwest, USA
- Appendices
- C++: Review and reference
- R: Review and reference.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Pandey, Hari Mohan, author.
- London ; San Diego, CA : Elsevier Academic Press, [2022]
- Description
- Book — xxi, 204 pages : illustrations ; 24 cm
- Summary
-
- 1. Introduction and Scientific Goals
- 2. State of the Art: Grammatical Inference
- 3. State of the Art: Genetic Algorithms and Premature Convergence
- 4. Genetic Algorithms and Grammatical Inference
- 5. Performance Analysis of Genetic Algorithm for Grammatical Inference
- 6. Applications of Grammatical Inference Methods and Future Development.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- IEEE International Conference on Advanced Computational Intelligence (13th : 2021 : Wanzhou Shi, China)
- [Piscataway, New Jersey] : IEEE, [2021?]
- Description
- Book — 1 online resource (382 pages) : illustrations (some color) Digital: text file.
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