Engineering Evolutionary Intelligent Systems: 82 2008th Edition

Engineering Evolutionary Intelligent Systems: 82 2008th Edition book cover

Engineering Evolutionary Intelligent Systems: 82 2008th Edition

Author(s): Ajith Abraham (Editor), Crina Grosan (Editor), Witold Pedrycz (Editor)

  • Publisher: Springer
  • Publication Date: 3 Jan. 2008
  • Edition: 2008th
  • Language: English
  • Print length: 464 pages
  • ISBN-10: 3540753958
  • ISBN-13: 9783540753957

Book Description

Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume ‘Engineering Evolutionary Intelligent Systems’ deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Editorial Reviews

Review

From the reviews:

“The purpose of this book … is to describe the variety of architectures and applications currently being used in evolutionary computation. Evolutionary computation has become an important and frequently used technique for problems in science, engineering, economics, medicine, business, commerce, and the like. … This book could be a useful exposé of how worldwide researchers (outside of the US) are developing new combinations of algorithms … . Summing Up: Recommended. Researchers, faculty, and professionals.” (S. E. Haupt, CHOICE, Vol. 46 (01), September, 2008)

From the Back Cover

Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume ‘Engineering Evolutionary Intelligent Systems’ deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

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