Evolutionary Computation 2

"This second volume provides very interesting information and updated material on additional topics. It also covers some advanced techniques and discusses the efficient implementation of evolutionary algorithms."-H.D. Hecker, Zentralblatt Math

• FITNESS EVALUATION Introduction to fitness evaluation Encoding and decoding functions Competitive fitness evaluation Complexity-based fitness evaluation Multiobjective optimization CONSTRAINT-HANDLING TECHNIQUES Introduction to constraint-handling techniques Penalty functions Decoders Repair algorithms Constraint-preserving operators Other constraint-handling methods Constraint-satisfaction problems POPULATION STRUCTURES Niching methods Speciation methods Island (migration) models: evolutionary algorithms based on punctuated equilibria Diffusion (cellular) models ADVANCED TECHNIQUES IN EVOLUTIONARY COMPUTATION Population sizing Mutation parameters Recombination parameters Parameter control Self-adaptation Meta-evolutionary approaches Coevolutionary algorithms IMPLEMENTATION OF EVOLUTIONARY ALGORITHMS Efficient implementation of algorithms Computation time of evolutionary operators Hardware realizations of evolutionary algorithms INDEX