eBook, PDF

Engineering Evolutionary Intelligent Systems (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 7.99MB

Barrierefreiheit

• Text-to-Speech

Autor

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 444
• Erscheinungstermin: 3. Januar 2008
• Englisch
• ISBN-13: 9783540753964
• Artikelnr.: 43884882

Rezensionen

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)