Advances in Evolutionary Computing for System Design

Advances in Evolutionary Computing for System Design

Advances in Evolutionary Computing for System Design By Prof. Lakhmi C. Jain, Shing Chiang Tan (auth.), Prof. Lakhmi C. Jain, Dr. Vasile Palade, Dipti Srinivasan (eds.)
2007 | 326 Pages | ISBN: 3540723765 | PDF | 10 MB

Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including:Introduction to evolutionary computing in system designEvolutionary neuro-fuzzy systemsEvolution of fuzzy controllersGenetic algorithms for multi-classifier designEvolutionary grooming of trafficEvolutionary particle swarmsFuzzy logic systems using genetic algorithmsEvolutionary algorithms and immune learning for neural network-based controller designDistributed problem solving using evolutionary learningEvolutionary computing within grid environmentEvolutionary game theory in wireless mesh networksHybrid multiobjective evolutionary algorithms for the sailor assignment problemEvolutionary techniques in hardware optimizationThis book will be useful to researchers in intelligent systems with interest in evolutionary computing, application engineers and system designers. The book can also be used by students and lecturers as an advanced reading material for courses on evolutionary computing.

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