Evolutionary Computation 2
Evolutionary Computation 2 Advanced Algorithms and Operators
Thomas Back, David B Fogel and Zbigniew Michalewicz Eds.
- Bristol Institute of Physics Publishing 2000
- xxxiv, 270 p., fig., tab.
Index pp. 265-270
contents: Preface, List of contributors, Glossary, PART I:FITNESS EVALUATION, 1.Introduction to fitness evaluation, 2.Encoding and decoding functions, 3.Competitive fitness evaluation, 4.Complexity-based fitness evaluation, 5.Multiobjective optimization, PART II:CONSTRAINT-HANDLING TECHNIQUES, 6.Introduction to constraint-handling techniques, 7.Penalty functions, 8.Decoders, 9.Repair algorithms, 10.Constraint-preserving operators, 11.Other constraint-handling methods, 12.Constraint-satisfaction problems, PART III:POPULATION STRUCTURES, 13.Niching methods, 14.Speciation methods, 15.Island (migration) models:evolutionary algorithms based on punctuated equilibria, 16.Diffusion (cellular) models, PART IV:ADVANCED TECHNIQUES IN EVOLUTIONARY COMPUTATION, 17.Population sizing, 18.Mutation parameters, 19.Recombination parameters, 20.Parameter control, 21.Self-adaptation, 22.Meta-evolutionary approaches, 23.Coevolutionary algorithms, PART V:IMPLEMENTATION OF EVOLUTIONARY ALGORITHMS, 24.Efficient implementationif algorithms, 25.Computation time of evolutionary operators, 26.Hardware realizations of evolutionary algorithms, Index.
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Index pp. 265-270
contents: Preface, List of contributors, Glossary, PART I:FITNESS EVALUATION, 1.Introduction to fitness evaluation, 2.Encoding and decoding functions, 3.Competitive fitness evaluation, 4.Complexity-based fitness evaluation, 5.Multiobjective optimization, PART II:CONSTRAINT-HANDLING TECHNIQUES, 6.Introduction to constraint-handling techniques, 7.Penalty functions, 8.Decoders, 9.Repair algorithms, 10.Constraint-preserving operators, 11.Other constraint-handling methods, 12.Constraint-satisfaction problems, PART III:POPULATION STRUCTURES, 13.Niching methods, 14.Speciation methods, 15.Island (migration) models:evolutionary algorithms based on punctuated equilibria, 16.Diffusion (cellular) models, PART IV:ADVANCED TECHNIQUES IN EVOLUTIONARY COMPUTATION, 17.Population sizing, 18.Mutation parameters, 19.Recombination parameters, 20.Parameter control, 21.Self-adaptation, 22.Meta-evolutionary approaches, 23.Coevolutionary algorithms, PART V:IMPLEMENTATION OF EVOLUTIONARY ALGORITHMS, 24.Efficient implementationif algorithms, 25.Computation time of evolutionary operators, 26.Hardware realizations of evolutionary algorithms, Index.
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