%{search_type} search results

Annotation Genetic Algorithms Genetic Programming Evolution Strategies Evolutionary Programming Differential Evolution Artificial Immune Systems Particle Swarm Optimization Ant Colony Optimization Bacterial Foraging Artificial Bees Harmony Search Gravitational search algorithm Quantum Computing Memetic Computing Fireflies Algorithm Hybridization of Algorithms Imperialism Competitive Learning Tabu Search Simulated Annealing Bat Algorithm intelligent water drop Other Metaheuristics.

• Self-Reproducing Machines: The Evolution of an Idea.- Animals and Machines: Changing Relationships in the 17th and 18th Centuries.- Babbage Meets Darwin: Mechanization and Evolution in the 19th Century.- Robot Evolution and the Fate of Humanity: Pop Culture and Futurology in the Early 20th Century.- From Idea to Reality: Designing and Building Self-reproducing Machines in the Mid-20th Century.- More Recent Developments: Signposts to Work from the 1960s to the Present.- The Next Evolution: Reflection and Outlook.
• (source: Nielsen Book Data)

Is it possible to design robots and other machines that can reproduce and evolve? And, if so, what are the implications: for the machines, for ourselves, for our environment, and for the future of life on Earth and elsewhere? In this book the authors provide a chronological survey and comprehensive archive of the early history of thought about machine self-reproduction and evolution. They discuss contributions from philosophy, science fiction, science and engineering, and uncover many examples that have never been discussed in the Artificial Intelligence and Artificial Life literature before now. In the final chapter they provide a synthesis of the concepts discussed, offer their views on the field's future directions, and call for a broad community discussion about the significant implications of intelligent evolving machines. The book will be of interest to general readers, and a valuable resource for researchers, practitioners, and historians engaged with ideas in artificial intelligence, artificial life, robotics, and evolutionary computing.
(source: Nielsen Book Data)

• Advantages of Cross-Border Acquisition under International Financial Crisis / Zuoling Nie, Yuhai Su and Chong-jin Wang
• A New Extension of LBP for Texture Classification / Kunlun Li and Pan Wang
• Adaptive Backstepping Control for Nonlinear Systems Using Support Vector Regression / Liu Yinan, Zhang Shengxiu, Cao Lijia and Zhang Chao
• The Application of Data Mining Technology in the Breakdown Maintenance of Warship Equipment / Hua Rong, Mingrong Chen and Zhen Wang
• Intrusion Detection Based on Immune Principles and Fuzzy Association Rules / Zhang Lei, Meng Lingrui and Hou Chunjie
• Temperature Model for FOG Zero-Bias Using Gaussian Process Regression / He Zhikun, Liu Guangbin, Zhao Xijing and Yang Jian
• Pulse Wave Averaging Computation and Clinical Verification / Li Yang and Yunan Hu
• Conditional Fault Diagnosis of Bubble Sort Graphs under the PMC Model / Shuming Zhou, Jian Wang, Xirong Xu and Jun-Ming Xu
• Process Simulation of Micro Device with Virtual Reality Technology / Zheng Liu and Hua Chen
• Intelligent Control of Beer Fermentation Temperature / Tianli Li
• Discussion on Enterprise Emergency Management Decision Support System / Wenchang Liu.

• Shallow Parsing of Chinese Based on HMM Model / Zheng Weifa and Xie Wenliang
• Application of Seismic Sedimentology Method to Beach-Bar Depositional System / Guo Jianqing and Lin Chengyan
• Visual Sign System Design of Modern Office Building / Shen Lei
• Research on Image Intensity Based on Matlab / Wang Yueping and Yi Zhi'an
• A Novel Digital Audio Watermarking Algorithm Based on Wavelet Transforming / Liu Yanjun
• The Demonstrating and Monitoring Software of Robot Control System / Zou Huan, Zhang Xueping, Yang Yanxin and Wang Xin
• Discussion on Training Mode of Entrepreneurial Talent in Electronic Business / Jin Tao
• The Design ECU of Vehicle with the Use of Controller Integrated PICI18F258 SCM / Shujun Hua
• Encrypt Hardware Device Based on Cryptographic Algorithm / Chen Cong
• The Data Mining Technology in the Application of Graduates' Employment / Hu Yan
• Application Research of Virtual Reality Technology in Electronic Technique Teaching / Hu Liang and Bi Xiaoming
• The Platform Design of Practice Teaching in the Electromechanical Major That Based on the Virtual Reality Technique / Hu Liang, Yang Wen and Huang Chengzhong.

• The Exploration Model of New-Type Software and the Application in the System Exploration of Teacher Management / Cao Yu
• Education Software Design of Electronic Technique That Based on Virtual Reality Technology / Hu Liang and Bi Xiaoming
• Study on Innovation Education Technology Based on New Computer Technology / Cao Yu
• Research on Multimedia Database / Hu Liang, Huang Manyuan and Huang Chengzhong
• The Experimental Teaching Platform of Mechanotronics Major That Based on Java EE Technology / Hu Liang and Huang Chengzhong
• The Analysis of Grid Database Technology in the Computer Application System / Juan Chen
• Study of Smart Warehouse Management System Based on the IOT / Wen Ding
• Design and Implementation of Visual C + + Based Digital Image Processing System / Hu Liang
• A New Multi-chaos Based Image Encryption Algorithm / Nan Lin, Xiaofeng Guo, Ping Xu and Yuqin Wang
• Performance of an Optical Packet Switch with Limited Wavelength Converter / Jie Li
• Time Petri Net-Based Software Reliability Analysis / Maoqiang Yang
• Digital Evidence Protection Model with Batch-Verifying and Public Verifiability for Computer Forensics / Zhao-Hui Qi, Zhan-Feng Gao, Ying-Ming Shen and Bing-Xin Han.

• Finite Element Analysis of a Bus Skeleton and Structure Improvement / Fachao Jiang, Yuezhen Fan, Entuo Liu and Molin Wang
• Design on a New Energy Lawn Mower: Fuel Cell Lawn Mower / Fachao Jiang, Entuo Liu and Molin Wang
• Study on the SRI Sensing Characteristics of PFBG and TFBG / Rensheng Shen, Wen Lin, Xiangping Li, Xiao Zhang and Guotong Du
• E-Commerce Case Study of Fast Fashion Industry / Zhenxiang Wei and Lijie Zhou
• Rapid Impulsive Noise Denoising in Range Images / Jian Wang, Zhen-qiang Yao, Lin Mei, Yao-jie Zhu and Yuan Yao, et al.
• Study on Race and Hazard of Combinational Logic Circuit / Wang Xiuling and Wang Haocheng
• Approach to Analyze Time Series Similarity Pattern Mining Based on Haar / Li Yi
• Design of a Four-Annulus Integrated Disk Electrode for Bioelectrical Impedance Spectroscopy Measurement / Kening Wang, Xiongxing Zhang and Wei Wang
• Development of Frequency and Power Control System Hardware-in-Loop Simulation Platform for Ship Power Plant / Sun Bin, Zeng Fan-ming, Zhang Wei-dong and Zhao Hua
• Control of Sludge Recycle Flow in Wastewater Treatment Plants Using Fuzzy Logic Controller / Wangyani.

• Research and Application of Embedded Real-Time Operating System / Zhangbo
• A PCA-Based Automated Method for Determination of Human Body Orientation / Weihe Wu, Aimin Hao, Wentao Wang and Yiqiang Wang
• GPU-Based Large Seismic Data Parallel Compression / Kai Xie, H.Q. Yu and G.Y. Lu
• Transform Optimization Based on Color Image Compression / Kai Xie, H.Q. Yu and G.Y. Lu
• The Resilience Framework for Interdependent Infrastructure Systems Using the Dynamic Inoperability Input-Output Model / Wenping Xu, Zhiwu Wang, Mingsheng Hu, Liu Hong and Xueguang Chen, et al.
• Multi-source Separation Using over Iterative Empirical Mode Decomposition / Yutian Wang, Hui Wang and Qin Zhang
• Paraphrase Based Similar Expression Generation / Wei He, Zhanyi Liu and Ting Liu
• Parameters Allocation of Genetic Algorithm Based on RSSI of DSRC Communication / Chun-Liang Chen
• Identification of FOG Multivariable Model Based on Fuzzy Relation / Zhao Xijing, Wang Lixin, He Zhikun and Li Rui
• An Improved Ant Colony Algorithm Combined with Genetic Algorithm and Its Application in Image Segmentation / Zhou Haifeng.

• Paper's Indirect Strain Control Bases on Inverter / Tianli Li
• Study on the Online Clustering Algorithm Based on Grid Structure / Wu Peng, Jia Jun and Zhu Tianxiang
• The Measurement of Low-Level 220Rn by Software Delayed Coincidence Method / Yan Yongjun, Lai Wei and Zhou Jianliang
• An Optimization of Intelligent Fire Alarm System for High-Rise Building Based on ANASYS / Liu Keding
• Coal Mine Safety Monitoring and Evaluation System Based on .Net / Zhang Chunzhi, Hu Guangzhou, Li Haoru and Wang Kejia
• Research on Web Information Filter Model / Liu Yiqin
• Power Flow and Power Flow Calculation Research in Power System / Li Jun
• The Analysis and Design of Human Resources Information Sharing System in University / Jiang Yan
• The Application Research of Multimedia Database in Innovative Venturing Course / Wu Binying, Chen Shiqiang and Fang Li
• Design and Realization of WCDMA Project Simulation System / Yehui Liu and Huaiqun Wang
• The Application of Computer Technology in the Interior Decoration Project / Qiu Yu and Qiu Jing
• The Application of Image Recognition Technique in Candidate's Identity Authentication System / Gu Hongjiu.

• Research on the Security Risk Assessment and the Solutions of Cloud Computing / Wen Ding
• The Study of Security Management Platform Technology and Methods Based on Cloud Computing / Zhang Jie
• Data Mining in the Application of E-Commerce Website / Gu Hongjiu
• Analysis of Security Mechanism in Web Database Application System / Juan Chen
• The Research and Summary of Evolutionary Multi-objective Optimization Algorithm / Xu Jingqi
• A Finite-Time Convergent Variable Structure Guidance Law with Impact Angle Constraint / Zuo-e Fan, Xian-jun Shi, Chang-peng Pan and Wen-jin Gu
• Highway Traffic Automatic Detection System Based on Video and Image Processing / Jiang Ying
• An Improvement to Leach-Based Routing Algorithm / Liu Re and Wang Xiu-Ping
• Specifying API Trace Birthmark by Abstract Interpretation / Ying Zeng, Fenlin Liu, Jian Chen and Bin Yan
• Extracting Semantic Information from Chinese Language Patent Claims / Yong Tang, Shihan Yang, Jiwen Chai and Shanmei Liu
• Sensitivity Analysis on the Influence Factors of Software Reliability Based on Diagnosis Reasoning / Li Qiuying, Li Haifeng and Wang Guodong
• Study on Method of Layer Modelling in Geological Body Visualization / Niu Wenjie.

• Design and Realization of a Novel Low-Voltage High-Efficiency On-Chip Current Sensing Technique / Wei HaiLong, Geng ZengJian, Liu Zhi and Liao Xue
• Construction of Mamdani Fuzzy Classifier Based on Genetic Algorithm / Zhou Weihong and Xiong Shunqing
• Change Detection Using High Spatial Resolution Remotely Sensed Imagery / Zhang Ruihua and Wu Jin
• Optimization of BP Neural Network Classifier Using Genetic Algorithm / Zhou Weihong and Xiong Shunqing
• Output-Feedback Stabilization of Discrete-Time Systems with Multiple Time-Varying Delays / Li Zhang and Fule Li
• An Improved OTP Authentication System and Its Application in Mobile Commerce / Ye Xi
• Research on ESC Hydraulic Control Unit Property and Pressure Estimation / Liu Wei, Ding Haitao and Guo Konghui
• The Emotional Robot Model Based on Endocrine System / Huang Guorui
• Research on the New Channel Estimation Algorithm for MIMO-OFDM System Based on Training Sequence / Zhigang Yang
• The Research and Implementation of Technology of Generating Test Paper Based on Genetic Algorithm / Shao Ming-zhu, Li Wei-feng and Du Jing-yi
• Intelligent Control Technology for Frequency Conversion Pump in Air Conditioning Systems / Shizhong Yang and Qingchang Ren.

• The Application and Development of Photoelectric Sensor / Zheng Chunjiao
• Online Random Seeking in FLV Video Based on File Cutting / Zhihui Du, Wenjun Fan, Yunpeng Chai and Tianle Zhang
• A Self-Adaptive Sliding Window Technique for Mining Data Streams / Yi Yang and Guojun Mao
• The CAD Solutions in Highway Landscape Greening / Yin Guangli and Qian Shao
• Using Genetic Algorithm to Improve Gray Watermark Algorithm / Jianbing Yi and Qiuen Xie
• A New Secure Windows Terminal Based on Dual-Subsystem Architecture / Li XinMing, Li Yi, Zhang GongXuan and Wang XiaoMei
• OsgAL-Based Sound Source Management in Simulation Games / Xin Li, Dehui Kong and Yong Zhang
• An Automatic Extraction Method of Surveillance Visual Context / Haozhe Liang, Shukui Xu and Guohui Li
• Improved Method of the PSF Parameters Estimation for Image Restoration / Zeng Liang, Zhou Yang and Yang Yingyuna
• Image Enhancement Based on NSCT / Ma Changxia, Bi Ye, Jiang Hongan, Chen Yunping and Zhang Zhanqiang
• Research on Design of Network Teaching System / Wenpeng Lu, Ruojuan Xue and Haixia Li
• A Semantic Framework for Integration of Prison Internet / Peiliang Sun, Wei Wei and Ming Xia.

• Architecture of the Cloud Computing Platform for Enterprises / Shi Xingjun and Xuezhen Zhu
• The Application of SSL Protocol in Computer Network Communication / Tian Huan
• Research on Wireless Network Security Model / Linmao and Wangyong
• Application of Network Platform in EFL Writing Feedback / Kang Hui and Shi Ziming
• The Bayesian Network and Trust Model Based Movie Recommendation System / Du Wei and Chen Junliang
• The Network Security Management System Based on the Fuzzy Dynamic Evaluation / Deng Fan, Pei Tao and Ji Hongcheng
• The Research and Design of IMS Network Management / Xia Ling
• Requirements of the Times -- The Collaboration of E-Government and E-Commerce / Xiao Shufeng
• Study on the Development Path of China Modern Coal Logistics Based on Electronic Commerce / Jiang Lingli and Cen Kuang
• Research on Flash Based Online Game / Liu Jinjun
• Applicability Analysis and Classification in Network System Security / Luo Zhuojun
• Design of Multimedia File Security Communication Platform Architecture Based on Web / Liu Yanshu, Yi Can and Li Zhiyong
• Research on the Security Issues of Cloud Computing / Jia Weihua and Sun Shibing.

• Alarm Analysis on Intrusion Detection of Network Flow / Liu Yanshu, Cao Yujun and Lei Jiping
• The Exploitation and Design of Enrollment and Employment Management System That Based on B/S / Li Bo
• Research on Network Technology-Based Data Integration Model / Chen Min, Wang Jianping and Tan Shaosheng
• Sentiment Analysis in Chinese BBS / Dai Lu and Ding Lixin
• A Modified Transport Protocol for Heterogeneous Wireless Sensor Networks / Wu Yangbo, Zou Donglan and Li ShuLiang
• Research on the Development and Application of Intelligent Network Teaching System / Li Fachun
• Study on the Computer Networks System Safety Detecting Technology / Hu Liming
• Algorithm Research of Network Course Design Based on Personal Learning / Li Fachun
• Observation on the Wireless Sensor Router Algorithm Based on Mobile Agent / Pei Fang and Zhang Jie
• Higher Vocational College Computer Culture Foundation Online Examination System Design / Yonghua Zhang, Lizhe Wang and Ji Li
• MVDR Method for the Whole Conformal Arrays / Lin Zou and Zishu He
• Research and Implementation of SOA-Based E-Commerce Platform / Hu Liang.

• Production Dynamic Scheduling Method Based on Improved Contract Net of Multi-agent / Ling Qin and Shulin Kan
• Research on Information Integrated Platform for Gear Enterprise Networked Manufacturing / Xiang-tao Chen and Xiang-yang He
• A New 3D Statistical Method for Mobile Channel Model / Yihuai Yang, Gengfa Fang, Eryk Dutkiewicz and Yangqing Li
• An Optimized Organizational Structure Model of Internet Security Management / Ran Lia and Shoulian Tang
• Study on the Business Model of Tourism Electronic Commerce in China / Jian Song
• Semantic-Based Wireless Video Surveillance System / Haijun Gu, Wei Liu and Xiaohui Zhao
• Ultra-Low Power CMOS Charge-Sensitive Preamplifier / Zhou Yunbo, Yu Zongguang and Yang Yu
• Reduction of Power Consumption in Wireless Sensor Networks for Railway Disaster Prevention and Safety Monitoring System / Tao Wu, Yusong Yan and Xi Chen
• The Integration Scheme of the Internet of Things and TD-SCDMA Network / Zhengyong Yu
• Study on Product Data Structure and Realization of Model Based on PLM / Xianghui Zhan, Xiaoda Li and Xiangyang Lui
• The Research of DNS Safe Analysis and Defense Technology / Shao Ming-zhu, Sun Bo and Xie Rui-yun.

• Study on the Dangerous Chemicals Transport Vehicles Monitoring System Based on RFID Technique / Wang Jianxin, Wang Tong, Ma Yunfei and Tan Jialei
• Implementation of Neural Network Backpropagation in CUDA / Jinfeng Liu and Lei Guo
• Research and Application of Serial Communication Modules Based on VB / Zhang Tao
• Design and Application of Export Model / Lei Xiong
• A Processing Pipeline for Virtual 3D Urban-Based Web3D Author Tools / Zhang Wei
• Categorization of Medical Documents Using Hybrid Competitive Neural Network with String Vector, a Novel Approach / Seyyed Mohammad Reza Farshchi and Mahdi Yaghoobi
• Study of Computer Room Network Monitoring Management System / Dianjun Xu
• The Application of Online Traffic System on the Wireless Internet / Zhiqiang Yao, Chiyuan Li, Ke Xu and Han Xia
• A New Trusted Monitoring Algorithm to IA Based Distributed System / Shao Liang and Wu Fang
• A Study of the Impact of Electronic Processing Time on Performance in Optical Burst Switching Networks / G.M. Li, Z.K. Sun and S.H. Geng
• Study on Stayed-Cable Health Monitoring / Z.K. Sun, G.M. Li and S.H. Geng
• Research on the Information Library for Component Testing / Ying Jiang, Lin Jin, Xiao-Dong Fu and Yu-Ping Liu.

2012 International Conference of Intelligence Computation and Evolutionary Computation (ICEC 2012) is held on July 7, 2012 in Wuhan, China. This conference is sponsored by Information Technology & Industrial Engineering Research Center. ICEC 2012 is a forum for presentation of new research results ofintelligentcomputation and evolutionary computation. Cross-fertilization of intelligent computation, evolutionary computation, evolvable hardware and newly emerging technologies is strongly encouraged. The forum aims to bring together researchers, developers, and users from around the world in both industry and academia for sharing state-of-art results, for exploring new areas of research and development, and to discuss emerging issues facing intelligent computation and evolutionary computation.

• 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.

This book constitutes the refereed proceedings of the 16th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2022, held in Gaeta, Italy, during September 14-16, 2022. The 21 full papers and 3 short papers included in this book were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: answer set programming; networks and complex systems, metaheuristics, robotics, and machine learning.

• 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.

This book constitutes the proceedings of the 15th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, held in Winterthur, Switzerland, in September 2022. The 14 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: Networks; Droplets, Fluids, and Synthetic Biology; Robot Systems; Computer Vision and Computational Creativity; Semantic Search; Artificial Medicine and Pharmacy; Trade and Finance; Ethics in Computational Modelling.

• Swarm Intelligence and Evolutionary Computation: Overview and Analysis.- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce.- Hybrid Metaheuristic Algorithms: Past, Present and Future.- Binary Flower Pollination Algorithm and Its Application to Feature Selection.- Bat Algorithm Application for the Single Row Facility Layout Problem.- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem.- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks.- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification.- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm.- Sustainable Building Design: A Review on Recent Metaheuristic Methods.- Firefly Algorithm for Flow Shop Optimization.- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks.- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm.- Analysis of Trusses Using Particle Swarm Optimization.
• (source: Nielsen Book Data)

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.
(source: Nielsen Book Data)

• 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.

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25-26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. .

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
(source: Nielsen Book Data)

• Part 1 - Setting the Stage
• Chapter 1 - Intelligent Machines: Imitating Life
• Chapter 2 - Deep Blue: A Triumph of AI?
• Chapter 3 - Building An Artificial Brain
• Chapter 4 - Evolutionary Computation: Putting Nature to Work
• Chapter 5 - Blue Hawaii: Natural Selection
• Chapter 6 - Checkers
• Chapter 7 - Chinook: The Man-machine Checkers Champion
• Chapter 8 - Samuel's Learning Machine
• Chapter 9 - The Samuel-Newell Challenge
• Part 2 - The Making of Blondie
• Chapter 10 - Evolving in the Checkers Environment
• Chapter 11 - In The Zone
• Chapter 12 - A Repeat Performance
• Chapter 13 - A New Dimension
• Chapter 14 - Letting the Genie Out of the Bottle
• Chapter 15 - Blondie24 Epilogue: The Future of Artificial Intelligence Appendix: Your Honor, I Object! Notes Index About the Author.
• (source: Nielsen Book Data)

Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain, " Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future.
(source: Nielsen Book Data)

• Chapter 1: Prototype generation based on MOPSO
• Chapter 2: Image reconstruction algorithms for electrical impedance tomography based on swarm intelligence
• Chapter 3: A semisupervised fuzzy GrowCut algorithm for segmenting masses of regions of interest of mammography images
• Chapter 4: Multiobjective optimization of autonomous control for a biped robot
• Chapter 5: Swarm intelligence based MIMO detection techniques in wireless systems
• Chapter 6: Swarm intelligence in logistics and production planning
• Chapter 7: Swarm intelligence for object-based image analysis
• Chapter 8: Evolutionary multiobjective optimization for multilabel learning
• Chapter 9: Image segmentation by flocking-like particle dynamics
• Chapter 10: Swarm intelligence for controller tuning and control of fractional systems
• Chapter 11: PSO-based implementation of smart antennas for secure localisation
• Chapter 12: Evolutionary computation for NLP tasks
• Chapter 13: Particle swarm optimisation for antenna element design
• Chapter 14: Swarm intelligence for data mining classification tasks: an experimental study using medical decision problems
• Chapter 15: Towards spiking neural systems synthesis
• Chapter 16: Particle swarm optimization based memetic algorithms framework for scheduling of central planned and distributed flowshops
• Chapter 17: Particle swarm optimization for antenna array synthesis, diagnosis and healing
• Chapter 18: Designing a fuzzy logic controller with particle swarm optimisation algorithm
• Chapter 19: Adding swarm intelligence for slope stability analysis
• Chapter 20: Software module clustering using particle swarm optimization
• Chapter 21: A swarm intelligence approach to harness maximum techno-commercial benefits from smart power grids
• Chapter 22: Fuzzy adaptive tuning of a particle swarm optimization algorithm for variable-strength combinatorial test suite generation
• Chapter 23: Multiobjective swarm optimization for operation planning of electric power systems
• Chapter 24: Perturbed-attractor particle swarm optimization for image restoration
• Chapter 25: Application of swarm intelligence algorithms to multi-objective distributed local area network topology design problem
• Chapter 26: Swarm intelligence algorithms for antenna design and wireless communications
• Chapter 27: Finite-element model updating using swarm intelligence algorithms.
• (source: Nielsen Book Data)

• Volume 1 Chapter 1: Survey of swarm intelligence Chapter 2: Generalization ability of swarm intelligence algorithms Chapter 3: A unifying framework for swarm intelligence-based hybrid algorithms Chapter 4: Ant colony systems for optimization problems in dynamic environments Chapter 5: Ant colony optimization for dynamic combinatorial optimization problems Chapter 6: Comparison of multidimensional swarm embedding techniques by potential fields Chapter 7: Inertia weight control strategies for PSO algorithms Chapter 8: Robot path planning using swarms of active particles Chapter 9: MAHM: a PSO-based multiagent architecture for hybridisation of metaheuristics Chapter 10: The critical state in particle swarm optimisation Chapter 11: Bounded distributed flocking control of nonholonomic mobile robots Chapter 12: Swarming in forestry environments: collective exploration and network deployment Chapter 13: Guiding swarm behavior by soft control Chapter 14: Agreeing to disagree: synergies between particle swarm optimisation and complex networks Chapter 15: Ant colony algorithms for the travelling salesman problem and the quadratic assignment problem Chapter 16: A review of particle swarm optimization for multimodal problems Chapter 17: Decentralized control in robotic swarms Chapter 18: PSO in ANN, SVM and data clustering Chapter 19: Modelling of interaction in swarm intelligence focused on particle swarm optimization and social networks optimization Chapter 20: Coordinating swarms of microscopic agents to assemble complex structures
• Volume 2 Chapter 1: Standard fireworks algorithm 2017 Chapter 2: Guided fireworks algorithm applied to multilevel image thresholding Chapter 3: Credit card number encryption using firework-based key generation Chapter 4: ST (Shafiabady-Teshnehlab) optimization algorithm Chapter 5: Predator-prey optimization with heterogeneous swarms Chapter 6: A novel modified ant lion optimizer algorithm: extension to proposed 4D-TC Chapter 7: Push-pull glowworm swarm optimization algorithm for multimodal functions Chapter 8: Firefly algorithm and its applications Chapter 9: The optimization dialectical method for the multiple sequences alignment problem Chapter 10: A new binary moth-flame optimization algorithm (BMFOA) - development and application to solve unit commitment problem Chapter 11: Binary whale optimization algorithm for unit commitment problem in power system operation Chapter 12: Real-coded grey wolf optimisation algorithm for progressive thermal power system unit commitment Chapter 13: Application of grey wolf optimization in fuzzy controller tuning for servo systems Chapter 14: Smart swarm inspired algorithms for microwave imaging problems Chapter 15: Interactive chaotic evolution Chapter 16: Symbiotic organisms search algorithm for static and dynamic transmission expansion planning Chapter 17: Inclined planes system optimisation (IPO) and its applications in data mining and system identification
• Volume 3 Chapter 1: Prototype generation based on MOPSO Chapter 2: Image reconstruction algorithms for electrical impedance tomography based on swarm intelligence Chapter 3: A semisupervised fuzzy GrowCut algorithm for segmenting masses of regions of interest of mammography images Chapter 4: Multiobjective optimization of autonomous control for a biped robot Chapter 5: Swarm intelligence based MIMO detection techniques in wireless systems Chapter 6: Swarm intelligence in logistics and production planning Chapter 7: Swarm intelligence for object-based image analysis Chapter 8: Evolutionary multiobjective optimization for multilabel learning Chapter 9: Image segmentation by flocking-like particle dynamics Chapter 10: Swarm intelligence for controller tuning and control of fractional systems Chapter 11: PSO-based implementation of smart antennas for secure localisation Chapter 12: Evolutionary computation for NLP tasks Chapter 13: Particle swarm optimisation for antenna element design Chapter 14: Swarm intelligence for data mining classification tasks: an experimental study using medical decision problems Chapter 15: Towards spiking neural systems synthesis Chapter 16: Particle swarm optimization based memetic algorithms framework for scheduling of central planned and distributed flowshops Chapter 17: Particle swarm optimization for antenna array synthesis, diagnosis and healing Chapter 18: Designing a fuzzy logic controller with particle swarm optimisation algorithm Chapter 19: Adding swarm intelligence for slope stability analysis Chapter 20: Software module clustering using particle swarm optimization Chapter 21: A swarm intelligence approach to harness maximum techno-commercial benefits from smart power grids Chapter 22: Fuzzy adaptive tuning of a particle swarm optimization algorithm for variable-strength combinatorial test suite generation Chapter 23: Multiobjective swarm optimization for operation planning of electric power systems Chapter 24: Perturbed-attractor particle swarm optimization for image restoration Chapter 25: Application of swarm intelligence algorithms to multi-objective distributed local area network topology design problem Chapter 26: Swarm intelligence algorithms for antenna design and wireless communications Chapter 27: Finite-element model updating using swarm intelligence algorithms.
• (source: Nielsen Book Data)

Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which cannot be handled by traditional approaches. Thousands of papers are published each year presenting new algorithms, new improvements and numerous real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from other researchers with common interests; and to follow new developments and innovative approaches. This complete and timely collection fills this gap by presenting the latest research systematically and thoroughly to provide readers with a full view of the field of swarm. Students will learn the principles and theories of typical swarm intelligence algorithms; scholars will be inspired with promising research directions; and practitioners will find suitable methods for their applications of interest along with useful instructions. Volume 1 contains 20 chapters presenting the basic principles and current algorithms and methods of well-known swarm intelligence algorithms and efficient improvements from typical particle swarm optimization (PSO), ant colony optimization (ACO) and fireworks algorithm (FWA) as well as other swarm intelligence algorithms for swarm robotics. Volume 2 includes 17 chapters covering front-edge research with novel and newly proposed algorithms and methods. Volume 3 includes 27 chapters presenting real-world applications of swarm intelligence algorithms and related evolutionary algorithms. With contributions from an international selection of leading researchers, Swarm Intelligence is essential reading for engineers, researchers, professionals and practitioners with interests in swarm intelligence.
(source: Nielsen Book Data)

• Chapter 1: Prototype generation based on MOPSO
• Chapter 2: Image reconstruction algorithms for electrical impedance tomography based on swarm intelligence
• Chapter 3: A semisupervised fuzzy GrowCut algorithm for segmenting masses of regions of interest of mammography images
• Chapter 4: Multiobjective optimization of autonomous control for a biped robot
• Chapter 5: Swarm intelligence based MIMO detection techniques in wireless systems
• Chapter 6: Swarm intelligence in logistics and production planning
• Chapter 7: Swarm intelligence for object-based image analysis
• Chapter 8: Evolutionary multiobjective optimization for multilabel learning
• Chapter 9: Image segmentation by flocking-like particle dynamics
• Chapter 10: Swarm intelligence for controller tuning and control of fractional systems
• Chapter 11: PSO-based implementation of smart antennas for secure localisation
• Chapter 12: Evolutionary computation for NLP tasks
• Chapter 13: Particle swarm optimisation for antenna element design
• Chapter 14: Swarm intelligence for data mining classification tasks: an experimental study using medical decision problems
• Chapter 15: Towards spiking neural systems synthesis
• Chapter 16: Particle swarm optimization based memetic algorithms framework for scheduling of central planned and distributed flowshops
• Chapter 17: Particle swarm optimization for antenna array synthesis, diagnosis and healing
• Chapter 18: Designing a fuzzy logic controller with particle swarm optimisation algorithm
• Chapter 19: Adding swarm intelligence for slope stability analysis
• Chapter 20: Software module clustering using particle swarm optimization
• Chapter 21: A swarm intelligence approach to harness maximum techno-commercial benefits from smart power grids
• Chapter 22: Fuzzy adaptive tuning of a particle swarm optimization algorithm for variable-strength combinatorial test suite generation
• Chapter 23: Multiobjective swarm optimization for operation planning of electric power systems
• Chapter 24: Perturbed-attractor particle swarm optimization for image restoration
• Chapter 25: Application of swarm intelligence algorithms to multi-objective distributed local area network topology design problem
• Chapter 26: Swarm intelligence algorithms for antenna design and wireless communications
• Chapter 27: Finite-element model updating using swarm intelligence algorithms.
• (source: Nielsen Book Data)

• Volume 1 Chapter 1: Survey of swarm intelligence Chapter 2: Generalization ability of swarm intelligence algorithms Chapter 3: A unifying framework for swarm intelligence-based hybrid algorithms Chapter 4: Ant colony systems for optimization problems in dynamic environments Chapter 5: Ant colony optimization for dynamic combinatorial optimization problems Chapter 6: Comparison of multidimensional swarm embedding techniques by potential fields Chapter 7: Inertia weight control strategies for PSO algorithms Chapter 8: Robot path planning using swarms of active particles Chapter 9: MAHM: a PSO-based multiagent architecture for hybridisation of metaheuristics Chapter 10: The critical state in particle swarm optimisation Chapter 11: Bounded distributed flocking control of nonholonomic mobile robots Chapter 12: Swarming in forestry environments: collective exploration and network deployment Chapter 13: Guiding swarm behavior by soft control Chapter 14: Agreeing to disagree: synergies between particle swarm optimisation and complex networks Chapter 15: Ant colony algorithms for the travelling salesman problem and the quadratic assignment problem Chapter 16: A review of particle swarm optimization for multimodal problems Chapter 17: Decentralized control in robotic swarms Chapter 18: PSO in ANN, SVM and data clustering Chapter 19: Modelling of interaction in swarm intelligence focused on particle swarm optimization and social networks optimization Chapter 20: Coordinating swarms of microscopic agents to assemble complex structures
• Volume 2 Chapter 1: Standard fireworks algorithm 2017 Chapter 2: Guided fireworks algorithm applied to multilevel image thresholding Chapter 3: Credit card number encryption using firework-based key generation Chapter 4: ST (Shafiabady-Teshnehlab) optimization algorithm Chapter 5: Predator-prey optimization with heterogeneous swarms Chapter 6: A novel modified ant lion optimizer algorithm: extension to proposed 4D-TC Chapter 7: Push-pull glowworm swarm optimization algorithm for multimodal functions Chapter 8: Firefly algorithm and its applications Chapter 9: The optimization dialectical method for the multiple sequences alignment problem Chapter 10: A new binary moth-flame optimization algorithm (BMFOA) - development and application to solve unit commitment problem Chapter 11: Binary whale optimization algorithm for unit commitment problem in power system operation Chapter 12: Real-coded grey wolf optimisation algorithm for progressive thermal power system unit commitment Chapter 13: Application of grey wolf optimization in fuzzy controller tuning for servo systems Chapter 14: Smart swarm inspired algorithms for microwave imaging problems Chapter 15: Interactive chaotic evolution Chapter 16: Symbiotic organisms search algorithm for static and dynamic transmission expansion planning Chapter 17: Inclined planes system optimisation (IPO) and its applications in data mining and system identification
• Volume 3 Chapter 1: Prototype generation based on MOPSO Chapter 2: Image reconstruction algorithms for electrical impedance tomography based on swarm intelligence Chapter 3: A semisupervised fuzzy GrowCut algorithm for segmenting masses of regions of interest of mammography images Chapter 4: Multiobjective optimization of autonomous control for a biped robot Chapter 5: Swarm intelligence based MIMO detection techniques in wireless systems Chapter 6: Swarm intelligence in logistics and production planning Chapter 7: Swarm intelligence for object-based image analysis Chapter 8: Evolutionary multiobjective optimization for multilabel learning Chapter 9: Image segmentation by flocking-like particle dynamics Chapter 10: Swarm intelligence for controller tuning and control of fractional systems Chapter 11: PSO-based implementation of smart antennas for secure localisation Chapter 12: Evolutionary computation for NLP tasks Chapter 13: Particle swarm optimisation for antenna element design Chapter 14: Swarm intelligence for data mining classification tasks: an experimental study using medical decision problems Chapter 15: Towards spiking neural systems synthesis Chapter 16: Particle swarm optimization based memetic algorithms framework for scheduling of central planned and distributed flowshops Chapter 17: Particle swarm optimization for antenna array synthesis, diagnosis and healing Chapter 18: Designing a fuzzy logic controller with particle swarm optimisation algorithm Chapter 19: Adding swarm intelligence for slope stability analysis Chapter 20: Software module clustering using particle swarm optimization Chapter 21: A swarm intelligence approach to harness maximum techno-commercial benefits from smart power grids Chapter 22: Fuzzy adaptive tuning of a particle swarm optimization algorithm for variable-strength combinatorial test suite generation Chapter 23: Multiobjective swarm optimization for operation planning of electric power systems Chapter 24: Perturbed-attractor particle swarm optimization for image restoration Chapter 25: Application of swarm intelligence algorithms to multi-objective distributed local area network topology design problem Chapter 26: Swarm intelligence algorithms for antenna design and wireless communications Chapter 27: Finite-element model updating using swarm intelligence algorithms.
• (source: Nielsen Book Data)

Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which cannot be handled by traditional approaches. Thousands of papers are published each year presenting new algorithms, new improvements and numerous real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from other researchers with common interests; and to follow new developments and innovative approaches. This complete and timely collection fills this gap by presenting the latest research systematically and thoroughly to provide readers with a full view of the field of swarm. Students will learn the principles and theories of typical swarm intelligence algorithms; scholars will be inspired with promising research directions; and practitioners will find suitable methods for their applications of interest along with useful instructions. Volume 3 includes 27 chapters presenting real-world applications of swarm intelligence algorithms and related evolutionary algorithms. With contributions from an international selection of leading researchers, Swarm Intelligence is essential reading for engineers, researchers, professionals and practitioners with interests in swarm intelligence.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learning systems, neural networks, classification and recognition, bioinformatics and bioengineering, evolutionary data mining and knowledge discovery, intelligent GIS and control, theory of intelligent computation, combinational and numerical optimization, as well as real-world applications.
(source: Nielsen Book Data)

• Multiobjective Evolutionary Optimization.- A New Evolutionary Decision Theory for Many-Objective Optimization Problems.- A Multi-Objective Genetic Algorithm Based on Density.- Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization.- A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization.- Study on Application of Multi-Objective Differential Evolution Algorithm in Space Rendezvous.- The Multi-objective ITO Algorithms.- An Evolutionary Algorithm for Dynamic Multi-Objective TSP.- The Construction of Dynamic Multi-objective Optimization Test Functions.- An Effective Dynamical Multi-objective Evolutionary Algorithm for Solving Optimization Problems with High Dimensional Objective Space.- Evolutionary Algorithms and Operators.- Operator Adaptation in Evolutionary Programming.- A Comparison of GAs Using Penalizing Infeasible Solutions and Repairing Infeasible Solutions on Average Capacity Knapsack.- About the Limit Behaviors of the Transition Operators Associated with EAs.- Differential Evolution Algorithm Based on Simulated Annealing.- A Novel Memetic Algorithm for Global Optimization Based on PSO and SFLA.- Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation.- A Granular Evolutionary Algorithm Based on Cultural Evolution.- A Self-adaptive Mutations with Multi-parent Crossover Evolutionary Algorithm for Solving Function Optimization Problems.- Evolutionary Optimization.- A Quantum Genetic Simulated Annealing Algorithm for Task Scheduling.- Optimized Research of Resource Constrained Project Scheduling Problem Based on Genetic Algorithms.- An Evolutionary Agent System for Mathematical Programming.- Agent-Based Coding GA and Application to Combat Modeling and Simulation.- A Two-Stage Genetic Algorithm for the Multi-multicast Routing.- A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization.- Performance Evaluation of Three Kinds of Quantum Optimization.- An Efficient Multilevel Algorithm for Inverse Scattering Problem.- Evolutionary Learning.- A New Evolutionary Neural Network and Its Application for the Extraction of Vegetation Anomalies.- Dynamic System Evolutionary Modeling: The Case of SARS in Beijing.- An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning.- Gene Expression Programming with DAG Chromosome.- Neural Networks.- Zhang Neural Network for Online Solution of Time-Varying Sylvester Equation.- A Global Optimization Algorithm Based on Novel Interval Analysis for Training Neural Networks.- Approximate Interpolation by Neural Networks with the Inverse Multiquadric Functions.- Decomposition Mixed Pixel of Remote Sensing Image Based on Tray Neural Network Model.- A Novel Kernel Clustering Algorithm Based Selective Neural Network Ensemble Model for Economic Forecasting.- An Evolutionary Neural Network Based Tracking Control of a Human Arm in the Sagittal Plane.- Ant Colony, Particle Swarm Optimization and Artificial Immune Systems.- New Ant Colony Optimization for Optimum Multiuser Detection Problem in DS-CDMA Systems.- A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy.- Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation.- Particle Swarm Optimization Using Levy Probability Distribution.- Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation.- An Improved Multi-Objective Particle Swarm Optimization Algorithm.- Dynamic Population Size Based Particle Swarm Optimization.- An Improved Particle Swarm Optimization for Data Streams Scheduling on Heterogeneous Cluster.- A Steepest Descent Evolution Immune Algorithm for Multimodal Function Optimization.- A Hybrid Clonal Selection Algorithm Based on Multi-parent Crossover and Chaos Search.- Pattern Recognition.- Spatial Clustering Method Based on Cloud Model and Data Field.- Diversity Analysis of Information Pattern and Information Clustering Algorithm.- Instant Message Clustering Based on Extended Vector Space Model.- Continuous K-Nearest Neighbor Queries for Moving Objects.- Texture Classification of Aerial Image Based on Bayesian Networks with Hidden Nodes.- Human Motion Recognition Based on Hidden Markov Models.- Data Mining.- Parameter Setting for Evolutionary Latent Class Clustering.- Automatic Data Mining by Asynchronous Parallel Evolutionary Algorithms.- Texture Image Retrieval Based on Contourlet Coefficient Modeling with Generalized Gaussian Distribution.- Heterogeneous Spatial Data Mining Based on Grid.- A Clustering Scheme for Large High-Dimensional Document Datasets.- Intelligent Systems.- Self-tuning PID Control of Hydro-turbine Governor Based on Genetic Neural Networks.- Adaptive Rate Selection Scheme Based on Intelligent Learning Algorithm in Wireless LANs.- The Research on Generic Project Risk Element Network Transmission Parallel Computing Model.- On the Performance of Metamodel Assisted MOEA/D.- A High Precision OGC Web Map Service Retrieval Based on Capability Aware Spatial Search Engine.- Analysis of the Performance of Balance of Digital Multi-value Based on Chebyshev Chaotic Sequence.- The Transformation Between Fuzzy Cognitive Maps and a Class of Simplified Dynamical Cognitive Networks.- Evolutionary Design.- Cryptanalysis of Two-Round DES Using Genetic Algorithms.- A Novel Artistic Image Generation Technique: Making Relief Effects Through Evolution.- Data Genome: An Abstract Model for Data Evolution.- Intrinsic Evolution of Frequency Splitter with a New Analog EHW Platform.- Towards the Role of Heuristic Knowledge in EA.- Using Instruction Matrix Based Genetic Programming to Evolve Programs.- Fuzzy Pattern Rule Induction for Information Extraction.- An Orthogonal and Model Based Multiobjective Genetic Algorithm for LEO Regional Satellite Constellation Optimization.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Symposium on Intelligence Computation and Applications, ISICA 2007, held in Wuhan, China, in September 2007. The 71 revised full papers cover such topics as evolutionary computation, evolutionary learning, neural networks, swarms, pattern recognition, and data mining.
(source: Nielsen Book Data)

• Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries.- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph.- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges.- Personalized Structure Balance Theory Based Movie Recommendation System.- Machine Learning Techniques for the Investigation of Phishing Websites.
• (source: Nielsen Book Data)

This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.
(source: Nielsen Book Data)

• 1. Web Information Extraction on Multiple Ontologies Based on Concept Relationships upon Training the User Profiles.-
• 2. A Study on Competent Crawling Algorithm (CCA) for Web Search to Enhance Efficiency of Information Retrieval.-
• 3. High Payload Reversible Watermarking for Securing Medical Images in a Cloud Environment.-
• 4. Enhanced Security Framework for Data Integrity Using Third-Party Auditing in the Cloud System.-
• 5. An Intelligent Cloud Security System for Critical Applications.-
• 6. An Efficient Framework for Health System Based on Hybrid Cloud with ABE Outsourced Decryption.-
• 7. A Knowledgeable Feature Selection Based on Set Theory for Web Intrusion Detection System.-
• 8. FLC Based Adaptive Neuro Fuzzy Inference System for Enhancing the Travelling Comfort.-
• 9. State Variable Filter Design Using Improvised Particle Swarm Optimization Algorithm.-
• 10. A Novel Algorithm on IP Traceback to Find the Real Source of Spoofed IP Packets.-
• 11. A Queueing Model for E-Learning System.-
• 12. Development of Common Parallel Programming Platform for MPI and PVM.-
• 13. Association Rule Mining and Refinement Using Shared Memory Multiprocessor Environment.-
• 14. Design of Low Power Multiplier Using UCSLA Technique.-
• 15. Hyperspectral Image Compression Algorithms
• -1. Web Information Extraction on Multiple Ontologies Based on Concept Relationships upon Training the User Profiles.-
• 2. A Study on Competent Crawling Algorithm (CCA) for Web Search to Enhance Efficiency of Information Retrieval.-
• 3. High Payload Reversible Watermarking for Securing Medical Images in a Cloud Environment.-
• 4. Enhanced Security Framework for Data Integrity Using Third-Party Auditing in the Cloud System.-
• 5. An Intelligent Cloud Security System for Critical Applications.-
• 6. An Efficient Framework for Health System Based on Hybrid Cloud with ABE Outsourced Decryption.-
• 7. A Knowledgeable Feature Selection Based on Set Theory for Web Intrusion Detection System.-
• 8. FLC Based Adaptive Neuro Fuzzy Inference System for Enhancing the Travelling Comfort.-
• 9. State Variable Filter Design Using Improvised Particle Swarm Optimization Algorithm.-
• 10. A Novel Algorithm on IP Traceback to Find the Real Source of Spoofed IP Packets.-
• 11. A Queueing Model for E-Learning System.-
• 12. Development of Common Parallel Programming Platform for MPI and PVM.-
• 13. Association Rule Mining and Refinement Using Shared Memory Multiprocessor Environment.-
• 14. Design of Low Power Multiplier Using UCSLA Technique.-
• 15. Hyperspectral Image Compression Algorithms - A Review.-
• 16. Reliable Virtual Cluster Based Opportunistic Routing Protocol for Mobile Ad Hoc Networks.-
• 17. Weighted Euclidean Distance Based Sign Language Recognition Using Shape Features.-
• 18. Event Monitoring for Adaptive Multi-priority Streaming Time Sensitive Based EDF Scheduling.-
• 19. How does Consciousness Overcome Combinatorial Complexity?.-
• 20. Website Re-Organization for Effective Latency Reduction through Splay Trees and Concept Based Clustering.-
• 21. Algorithms for Zumkeller Labeling of Full Binary Trees and Square Grids.-
• 22. Memetic Framework Application - Analysis of Corporate Customer Attitude in Telecom Sector.-
• 23. Contourlet Based Multiband Image Fusion for Improving Classification Accuracy in IRS LISS III Images.-
• 24. Computer Aided Diagnosis of Breast Elastography and B-mode Ultrasound.-
• 25. A Convivial Energy Based Clustering (CEBC) Solution for Lifetime Enhancement of Wireless Sensor Networks.-
• 26. Wind Power in India - An Overview.-
• 27. Series Resonant Converter Based Unified Power Quality Conditioner Using Fuzzy controller.-
• 28. MRI Brain Image Classification Using Haar Wavelet and Artificial Neural Network.-
• 29. Adaptive Modified Hysteresis Current Control for Switching Loss reduction in Photovoltaic Fed Dual Function Grid Connected Inverters.-
• 30. Low Complexity Power Spectral Density Estimation.-
• 31. Intensified Scheduling Algorithm for Virtual Machine Tasks in Cloud Computing.-
• 32. Design of Neural Network Model for Emotional Speech Recognition.-
• 33. Intelligent Decision Making with Improved Energy Detection for Precise Spectrum Sensing in Cognitive Radios.-
• 34. Human Action Recognition by Employing DWT and Texture.-
• 35. Modeling and Performance Evaluation of Switched Reluctance Motor Drives in MATLAB/Simulink Atmosphere with Estimation of SRM parameters Using Finite Element Analysis.-
• 36. Classification of Right Bundle Branch Block and Left Bundle Branch Block Cardiac Arrhythmias Based on ECG Analysis.-
• 37. Content Based Algorithm for Colour Image Enhancement Using Fuzzy Technique.-
• 38. Frequent Item set Mining with Elimination of Null Transactions over Data Streams.-
• 39. Protograph Based Design of Non-Binary LDPC Codes.-
• 40. Extraction of Binary Sequences in a Frequency Shift Keying Modulated Signal by Empirical Mode Decomposition Algorithm against Ambient Noises in Underwater Acoustic Channel.-
• 41. A Model for the Effective Steganalysis of VoIP.-
• 42. Automatic Genre Classification from Videos.-
• 43. Computer Aided Diagnosis of Breast Cancer by Hybrid Fusion of Ultrasound and Mammogram Features.-
• 44. A Machine Learning Approach to Cluster the Users of Stack Overflow Forum.-
• 45. Data Storage Optimization in Cloud Environment.-
• 46. Study on Fingerprint Images Using Delaunay Patterns to Identify Hereditary Relations among Family Members of Three Generations.-
• 47. Evaluation of Worst Case Execution Time of Tasks on Multi-core Processor.-
• 48. Back EMF Based Sensorless Field Oriented Control of PMSM Using Neural Network Based Controller with a Startup Strategy.-
• 49. FPGA Based Intelligent Control of AC Motors.-
• 50. Secretly Shared QR Code and Its Applications.-
• 51. Phish Indicator: An Indication for Phishing Sites.-
• 52. Using Signature for Hidden Communication Prevention in IP Telephony.-
• 53. Classification Using Fractal Features of Well Defined Mammographic Masses Using Power Spectral Analysis and Differential Box Counting Approaches.-
• 54. Efficient Silhouette Based Input Methods for Reliable Human Action Recognition from Videos.-
• 55. Vertical Handoff Scheme in Integrated WIMAX and WLAN Networks.-
• 56. An Analysis of Various Edge Detection Techniques on Illuminant Variant Images.-
• 57. CBAODV: An Enhanced Reactive Routing Algorithm to Reduce Connection Breakage in VANET.-
• 58. An Enhanced Associative Ant Colony Optimization Technique Based Intrusion Detection System.-
• 59. Fuzzy Based Sign Language Interpreter.-
• 60. Optimized Distributed Text Document Clustering Algorithm.-
• 61. A Study on Medical Data Hiding Using Wireless Capsule Endoscopy.-
• 62. Video Data Mining Information Retrieval Using Birch Clustering Technique.-
• 63. Handwritten Tamil Character Recognition Using Zernike Moments and Legendre Polynomial.-
• 64. Encrusted CRF in Intrusion Detection System.-
• 65. Effective Pattern Discovery and Dimensionality Reduction for Text Under Text Mining.-
• 66. A Cross Layer Analysis for Providing Mobility in Wireless Body Area Networks.-
• 67. Multiview Clustering in Heterogeneous Environment.-
• 68. Implementation of Isolated Two Inductor Boost Converter for Induction Motor Drive Applications.-
• 69. A Generic Bio Inspired Framework for Detecting Humans Based on Saliency Detection.-
• 70. Efficient Approach to Detect and Localize Text in Natural Scene Images.-
• 71. Enhanced Certificate-Based Authentication for Distributed Environment.-
• 72. Diagnosis and Segmentation of Brain Tumor from MRI Image.-
• 73. Improving the Accuracy of Latent Fingerprint Matching Using Texture Descriptors.-
• 74. Control Strategy for PQ Improvement in an Autonomous Microgrid Using Bacterial Foraging Optimization Algorithm.-
• 75. Maximum Intensity Block Code for Action Recognition in Video Using Tree Based Classifiers.-
• 76. An Efficient Coding Method for Indexing Hand Based Biometric Databases.-
• 77. Optic Disc and OpticCup Segmentation for Glaucoma Screening.-
• 78. Deadline Based Priority Management in Cloud.-
• 79. Countering Flood Attacks and Routing Misbehavior in DTN.-
• 80. Static ATC Estimation Using Fully Complex Valued Radial Basis Function Neural Network.-
• 81. Big Data and Cloud: A Survey.-
• 82. An Email Application on Named Data Networking.-
• 83. Hierarchical Character Grouping and Recognition of Character Using Character Intensity Code.-
• 84. Multi View Face Expression Recognition - A Hybrid Method.-
• 85. A Scheme to Create Secured Random Password Using Markov Chain.-
• 86. Analysis of Shortest Route for Heterogeneous Node in Wireless Sensor Network.-
• 87. Design of a Triple Band Slit loaded Patch Antenna with DGS for Bandwidth Enhancement.-
• 88. Segmentation of Nuclei from Breast Histopathology Images Using PSO Based Otsu's Multilevel Thresholding.-
• 89. Wavelet Transform Based Land Cover Classification of Satellite Images.-
• 90. Tamil Speech Recognizer Using Hidden Markov Model for Question Answering System of Railways.-
• 91. Constrained Optimal Bidding Strategy in Deregulated Electricity Market.
• (source: Nielsen Book Data)

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
(source: Nielsen Book Data)

• Diffusion of Shapes (R S Shaw & N H Packard)
• FDC-Based Particle Swarm Optimization (A Azzini et al.)
• Predictive Neural Networks in the Design of Experiments (D De March et al.)
• Prefrontal Cortex and Action Sequences: A Review on Neural Computational Models (I Gaudiello et al.)
• Bio-Inspired ICT for Evolutionary Emotional Intelligence (M Villamira & P Cipresso)
• Cooperation in Corvids: A Simulative Study with Evolved Robots (O Miglino et al.)
• Distributed Processes in a Agent-Based Model of Innovation (L Ansaloni et al.)
• Imaginary or Actual Artificial Worlds Using a New Tool in the ABM Perspective (P Terna)
• Dynamics of Interconnected Boolean Networks with Scale-Free Topology (C Damiani et al.)
• Semi-Synthetical Minimal Cells (P Stano & P L Luisi)
• and Other Papers.
• (source: Nielsen Book Data)

The Italian community in Artificial Life and Evolutionary computation has grown remarkably in recent years, and this book is the first broad collection of its major interests and achievements (including contributions from foreign countries). The contributions in Artificial Life as well as in Evolutionary Computation allow one to see the deep connections between the two fields. The topics addressed are extremely relevant for present day research in Artificial Life and in Evolutionary Computation, which include important contributions from very well-known researchers. The volume provides a very broad picture of the Italian activities in this field.
(source: Nielsen Book Data)