Search
 
Home| Join Our Mailing List| New Reviews| New Titles
Editor's Choice| Bestsellers| Textbooks| Book Series| Study Guides| E-Catalogues
  COMPUTER SCIENCE
  Artificial Intelligence
Database/ Information
Sciences

Decision Sciences
Digital Security
Fuzzy Logic
Machine Vision/ Pattern
Recognition

Neural Networks/ Networking
Parallel Processing/
Supercomputing

Software Engineering
Theoretical Computer Science
General
New Titles
May Bestsellers
Editor's Choice
Nobel Lectures
Textbooks
Recent Reviews
Book Series
Related Journals
  • International Journal of Semantic Computing (IJSC)
  • International Journal of Information Acquisition (IJIA)
  • Journal of Information & Knowledge Management (JIKM)
  • Computer Science Journals
  • New Mathematics and Natural Computation (NMNC)
  • Request for related catalogues
     
      PRODUCTS
      Journals
    eBooks
    Journals Archives
    eProceedings
     
      RESOURCES
      For Librarians
    For Authors
    For Booksellers
    For Translation Rights About Us
    Contact Us
    How to Order News
    Inspection Copy
     

    APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS

    edited by Carlos A Coello Coello (CINVESTAV-IPN, Mexico) & Gary B Lamont (Air Force Institute of Technology, Wright-Patterson AFB, USA)

    Table of Contents (433k)
    Preface (126k)
    Chapter 1: An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications (1,079k)

    This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.

     
    Contents:
    • An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications
    • Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach
    • Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits
    • Automatic Control System Design via a Multiobjective Evolutionary Algorithm
    • Evolutionary Multi-Objective Optimization of Trusses
    • A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem
    • Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms
    • Mutli-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination
    • On Machine Learning with Multiobjective Genetic Optimization
    • and other papers
     
    Readership: Undergraduates, graduate students, researchers, academics, practitioners and professionals interested in evolutionary algorithms.
     
     
    792pp    Pub. date: Dec 2004  
    ISBN:   978-981-256-106-0
    981-256-106-4
       US$190 / £121

     


     

    Imperial College Press  |  Global Publishing  |  Asia-Pacific Biotech News  |  Innovation Magazine
    Labcreations Co  |  Meeting Matters  |  National Academies Press

    Copyright © 2009 World Scientific Publishing Co. All rights reserved.
    Updated on 3 July 2009