This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9783540723769.

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Bibliographic Details

Title

Advances in Evolutionary Computing for System Design

Publisher

Springer

Publication Date

2007

Language

English

ISBN 10

3540723765

ISBN 13

9783540723769

Binding

Hardcover

Condition

Good

Weight

700 grams

Seller catalogs

Computing

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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