Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence, 66) - Softcover

Softcover

ISBN 10: 364209144X ISBN 13: 9783642091445

Publisher: Springer, 2010

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.

About this title

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.

Edition details

• Publisher: Springer
• Publication date: 2010
• Language: English
• ISBN 10: 364209144X
• ISBN 13: 9783642091445
• Binding: Paperback
• Number of pages: 334
• Editor: Palade Vasile, Srinivasan Dipti