Title: Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence, 66)
Publisher: Springer
Publication Date: 2007
Language: English
ISBN 10: 3540723765
ISBN 13: 9783540723769
Binding: Hardcover
Condition: New

About this title

Synopsis

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 design; evolutionary neuro-fuzzy systems; evolution of fuzzy controllers; genetic algorithms for multi-classifier design; evolutionary grooming of traffic; evolutionary particle swarms; fuzzy logic systems using genetic algorithms; evolutionary algorithms and immune learning for neural network-based controller design; distributed problem solving using evolutionary learning; evolutionary computing within grid environment; evolutionary game theory in wireless mesh networks; hybrid multiobjective evolutionary algorithms for the sailor assignment problem; evolutionary techniques in hardware optimization. This 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.

From the Back Cover

Introduction to evolutionary computing in system design
Evolutionary neuro-fuzzy systems
Evolution of fuzzy controllers
Genetic algorithms for multi-classifier design
Evolutionary grooming of traffic
Evolutionary particle swarms
Fuzzy logic systems using genetic algorithms
Evolutionary algorithms and immune learning for neural network-based controller design
Distributed problem solving using evolutionary learning
Evolutionary computing within grid environment
Evolutionary game theory in wireless mesh networks
Hybrid multiobjective evolutionary algorithms for the sailor assignment problem
Evolutionary techniques in hardware optimization

This 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.

"About this title" may belong to another edition of this title.

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