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  • © 2007

Advances in Evolutionary Computing for System Design

  • Latest research on the evolution of intelligent systems and their applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 66)

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Table of contents (13 chapters)

  1. Front Matter

    Pages I-VIII
  2. Introduction to Evolutionary Computing in System Design

    • Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim
    Pages 1-9
  3. Evolutionary Neuro-Fuzzy Systems and Applications

    • G. Castellano, C. Castiello, A. M. Fanelli, L. Jain
    Pages 11-45
  4. Evolution of Fuzzy Controllers and Applications

    • Dilip Kumar Pratihar, Nirmal Baran Hui
    Pages 47-69
  5. EPSO: Evolutionary Particle Swarms

    • V. Miranda, Hrvoje Keko, Alvaro Jaramillo
    Pages 139-167
  6. Evolutionary Computing within Grid Environment

    • Ashutosh Tiwari, Gokop Goteng, Rajkumar Roy
    Pages 229-248
  7. Application of Evolutionary Game Theory to Wireless Mesh Networks

    • Athanasios Vasilakos, Markos Anastasopoulos
    Pages 249-267
  8. Applying Hybrid Multiobjective Evolutionary Algorithms to the Sailor Assignment Problem

    • Deon Garrett, Dipankar Dasgupta, Joseph Vannucci, James Simien
    Pages 269-301

About this book

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.

Editors and Affiliations

  • University of South Australia, South Australia, Australia

    Lakhmi C. Jain

  • Computing Laboratory, Oxford, England

    Vasile Palade

  • National University of Singapore, Singapore

    Dipti Srinivasan

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access