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Success in Evolutionary Computation

  • Book
  • © 2008

Overview

Editors:
  1. Ang Yang

    1. CSIRO Land and Water, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Yin Shan

    1. Medicare Australia, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Lam Thu Bui

    1. University of New South Wales, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • Reports recent research results on evolutionary computation in practice
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 92)

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Table of contents (16 chapters)

  1. Front Matter

    Pages I-VIII
    Download chapter PDF

  3. Applications

    1. Evolving Trading Rules

      • Adam Ghandar, Zbigniew Michalewicz, Martin Schmidt, Thuy-Duong Tô, Ralf Zurbrugg
      Pages 95-119

    2. A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model

      • Heitor S. Lopes, Marcos P. Scapin
      Pages 121-140

    3. Optimal Management of Agricultural Systems

      • D. G. Mayer, W. A. H. Rossing, P. deVoil, J. C. J. Groot, M. J. McPhee, J. W. Oltjen
      Pages 141-163

    4. Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs

      • Esteban Tlelo-Cuautle, Miguel A. Duarte-Villaseáor
      Pages 165-187

    5. Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering System

      • H. Müller, D. Biermann, P. Kersting, T. Michelitsch, C. Begau, C. Heuel et al.
      Pages 189-214

    6. Privacy Protection with Genetic Algorithms

      • Agusti Solanas
      Pages 215-237

    7. A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problem

      • Pablo Cortés, Luis Onieva, Jesús Muáuzuri, Jose Guadix
      Pages 239-262

    8. Survivable Network Design with an Evolution Strategy

      • Volker Nissen, Stefan Gold
      Pages 263-283

    9. Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuits

      • A. K. Palit, K. K. Duganapalli, K. Zielinski, D. Westphal, D. Popovic, W. Anheier et al.
      Pages 285-311

    10. Evolving Cooperative Agents in Economy Market Using Genetic Algorithms

      • Raymond Chiong
      Pages 313-326

    11. Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computation

      • Jarno Martikainen, Seppo J. Ovaska
      Pages 327-354

    12. Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems – An Industry Case Study

      • Kesheng Wang, Y. Wang
      Pages 355-372
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Keywords

About this book

Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting rapidly evolving field.

Editors and Affiliations

  • CSIRO Land and Water, Australia

    Ang Yang

  • Medicare Australia, Australia

    Yin Shan

  • University of New South Wales, Australia

    Lam Thu Bui

Bibliographic Information

  • Book Title: Success in Evolutionary Computation

  • Editors: Ang Yang, Yin Shan, Lam Thu Bui

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-76286-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-76285-0Published: 29 February 2008

  • Softcover ISBN: 978-3-642-09514-6Published: 30 November 2010

  • eBook ISBN: 978-3-540-76286-7Published: 22 March 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VIII, 372

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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