Springer Engineering Evolutionary Intelligent Systems: 82 (Studies in Computational Intelligence, 82)

This edited volume deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business and commerce. It comprises 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. 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.