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· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 비전/패턴 인식
· ISBN : 9783540215233
· 쪽수 : 412쪽
· 출판일 : 2004-04-08
목차
Theoretical Issues.- From Royal Road to Epistatic Road for Variable Length Evolution Algorithm.- Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System.- A Study of the Effects of Dimensionality on Stochastic Hill Climbers and Estimation of Distribution Algorithms.- Evolutionary Search for Binary Strings with Low Aperiodic Auto-correlations.- Order Statistics in Artificial Evolution.- Evolutionary Markov Chain Monte Carlo.- Algorithmic Issues.- A Hybrid Evolutionary Algorithm for CSP.- Optimising Graph Partitions Using Parallel Evolution.- Recombination Operators for Satisfiability Problems.- Recombination and Self-Adaptation in Multi-objective Genetic Algorithms.- Applications.- Automatic Optical Fiber Alignment System Using Genetic Algorithms.- Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm.- Evolutionary Mining for Image Classification Rules.- Ant Algorithm for Detection of Retentive Structures in Coastal Waters.- Air Traffic Controller Keyboard Optimization by Artificial Evolution.- Post Docking Filtering Using Cartesian Genetic Programming.- Implementation Issues.- GUIDE: Unifying Evolutionary Engines through a Graphical User Interface.- ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms.- A Coarse-Grained Parallel Genetic Algorithm Employing Cluster Analysis for Multi-modal Numerical Optimisation.- Genetic Programming.- A Study of Diversity in Multipopulation Genetic Programming.- Self-Improvement to Control Code Growth in Genetic Programming.- Exploring Overfitting in Genetic Programming.- Coevolution and Agent Systems.- An Agent Model for First Price and Second Price Private Value Auctions.- A Clustering Based Niching EA for Multimodal Search Spaces.- Evolving a Cooperative Transport Behavior for Two Simple Robots.- Artificial Life.- Co-evolution in Artificial Ecosystems: Competition and Cooperation Using Allellopathy.- The Evolutionary Control Methodology: An Overview.- Cellular Automata.- Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms.- Research of Complex Forms in Cellular Automata by Evolutionary Algorithms.- Machine Learning.- Genetic Feature Learning Algorithm for Fluorescence Fingerprinting of Plants.- ROC-Based Evolutionary Learning: Application to Medical Data Mining.- Social Learning through Evolution of Language.















