Advances in Evolutionary Computing for System Design
- Author
- Lakhmi C. Jain, Vasile Palade, Dipti Srinivasan
- Publication Year
- 2007
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Engineering
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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
Keywords: Engineering / Multi-agent system / Algorithm / Algorithms / Cognition / Evolution / Evolutionary algorithm / Evolutionary computation / Game theory / Genetic algorithm / Intelligent systems / Learning / Neural network / Optimization / Problem solving / Verification
