Advances In Evolutionary Computing For System Design (studies In Computational Intelligence) (studies In Computational Intelligence)

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ISBN 10: 3540723765 / ISBN 13: 9783540723769

Published by Springer, 2007

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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:

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.

Bibliographic Details

Title: Advances In Evolutionary Computing For ...
Publisher: Springer
Publication Date: 2007
Binding: Hardcover
Condition: Brand New