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Recent Advances in Simulated Evolution and Learning Book

Recent Advances in Simulated Evolution and Learning
Recent Advances in Simulated Evolution and Learning, Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances i, Recent Advances in Simulated Evolution and Learning has a rating of 4 stars
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Recent Advances in Simulated Evolution and Learning, Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances i, Recent Advances in Simulated Evolution and Learning
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  • Recent Advances in Simulated Evolution and Learning
  • Written by author Tan Chen Kay
  • Published by World Scientific Publishing Company, Incorporated, August 2004
  • Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances i
  • Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances i
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Ch. 1Co-evolutionary learning in strategic environments1
Ch. 2Using evolution to learn user preferences20
Ch. 3A parallel genetic algorithm for clustering41
Ch. 4Using SIMD genetic programming for fault-tolerant trading strategies61
Ch. 5An efficient coevolutionary algorithm based on merging and splitting of species78
Ch. 6Schema analysis of genetic algorithms on multiplicative landscape93
Ch. 7Evolutionary learning strategies for artificial life characters112
Ch. 8Adaptive strategy for GA inspired by biological evolution132
Ch. 9The influence of stochastic quality functions on evolutionary search152
Ch. 10Theoretical analysis of the GA performance with a multiplicative royal road function173
Ch. 11A real-coded cellular genetic algorithm inspired by predator-prey interactions191
Ch. 12Observed dynamics of large scale parallel evolutionary algorithms with implications for protein engineering208
Ch. 13Using edge histogram models to solve flow shop scheduling problems with probabilistic model-building genetic algorithms230
Ch. 14Collective movements of mobile robots with behavior models of a fish250
Ch. 15Automatic modularization with speciated neural network ensemble268
Ch. 16Search engine development using evolutionary computation methodologies284
Ch. 17Evaluating evolutionary multi-objective optimization algorithms using running performance metrics307
Ch. 18Visualization technique for analyzing non-dominant pareto optimality327
Ch. 19Image classification using particle swarm optimization347
Ch. 20A coevolutionary genetic search for a layout problem366
Ch. 21Sensitivity analysis in multi-objective evolutionary design386
Ch. 22Integrated production and transportation scheduling in supply chain optimisation406
Ch. 23Evolution of fuzzy rule based controllers for dynamic environments426
Ch. 24Applications of evolution algorithms to the synthesis of single/dual-rail mixed PTL/static logic for low-power applications446
Ch. 25Evolutionary multi-objective robotics : evolving a physically simulated quadruped using the PDE algorithm466
Ch. 26Applying Bayesian networks in practical customer satisfaction studies486
Ch. 27An adaptive length chromosome hyper-heuristic genetic algorithm for a trainer scheduling problem506
Ch. 28Design optimization of permanent magnet synchronous machine using genetic algorithms526
Ch. 29A genetic algorithm for joint optimization of spare capacity and delay in self-healing network542
Ch. 30Optimization of DS-CDMA code sequences for wireless systems562
Ch. 31An efficient evolutionary algorithm for multicast routing with multiple QoS constraints581
Ch. 32Constrained optimization of multilayered anti-reflection coatings using genetic algorithms603
Ch. 33Sequential construction of features based on genetically transformed data623
Ch. 34Refrigerant leak prediction in supermarkets using evolved neural networks643
Ch. 35Worst-case instances and lower bounds via genetic algorithms662
Ch. 36Prediction of protein secondary structure by multi-modal neural network682
Ch. 37Joint attention in the mimetic context - what is a "mimetic same"?698
Ch. 38Autonomous symbol acquisition through agent communication711
Ch. 39Search of steady-state genetic algorithms for vision-based mobile robots729
Ch. 40Time series forecast with Elman neural networks and genetic algorithms747
Ch. 41Co-adaption to facilitate naturalistic human involvement in shared control system769
Ch. 42Distributed evolutionary strategies for searching Oligo sets of yeast genome789
Ch. 43Duration-dependent multi-schedule evolutionary curriculum timetabling803


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