Engineering Evolutionary Intelligent Systems
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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.
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.
Reports recent research results on Engineering Evolutionary Intelligent Systems Includes supplementary material: sn.pub/extras
Autor*in
Ajith Abraham
Themen in »Engineering Evolutionary Intelligent Systems«
Evolutionary Clustering Evolutionary Design Evolutionary Fuzzy Systems Evolutionary Intelligent Systems Evolutionary Neural Networks Fuzzy algorithms evolutionary algorithm fuzzy logic genetic algorithms genetic programming learning modeling optimization programming
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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)
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