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Advances in Evolutionary Computing for System Design: 66 (Studies in Computational Intelligence, 66) - Softcover
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.
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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.
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- PublisherSpringer
- Publication date2010
- ISBN 10 364209144X
- ISBN 13 9783642091445
- BindingPaperback
- LanguageEnglish
- Number of pages334
- EditorPalade Vasile, Srinivasan Dipti
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Advances in Evolutionary Computing for System Design
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Springer Berlin Heidelberg, 2010
ISBN 10: 364209144X
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on the evolution of intelligent systems and their applicationsEvolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of. Seller Inventory # 5048165
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Advances in Evolutionary Computing for System Design
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ISBN 13: 9783642091445
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book's thirteen chapters cover a wide area of topics in evolutionary computing and applications, including an introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; and evolution of fuzzy controllers. The book will be useful to researchers in intelligent systems with interest in evolutionary computing, as well as application engineers and system designers. 336 pp. Englisch. Seller Inventory # 9783642091445
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Advances in Evolutionary Computing for System Design
Published by
Springer Berlin Heidelberg, 2010
ISBN 10: 364209144X
ISBN 13: 9783642091445
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642091445
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Advances in Evolutionary Computing for System Design
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 364209144X
ISBN 13: 9783642091445
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch. Seller Inventory # 9783642091445
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