Advances in Evolutionary Algorithms

Theory, Design and Practice

  • Chang Wook Ahn

Part of the Studies in Computational Intelligence book series (SCI, volume 18)

Table of contents

About this book

Introduction

Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated:

  • Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines.
  • Demonstrating the practical use of the suggested road map.
  • Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications.
  • Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain.
  • Opening an important track for multiobjective GEA research that relies on decomposition principle.

This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.

Keywords

Evolutionary Algorithms algorithm algorithms evolution evolutionary algorithm evolutionary computation genetic algorithms memory optimization

Authors and affiliations

  • Chang Wook Ahn
    • 1
  1. 1.Samsung Advanced Institute of Technology (SAIT)Republic of Korea

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-31759-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-31758-6
  • Online ISBN 978-3-540-31759-3
  • Series Print ISSN 1860-949X
  • About this book
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