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Hybrid evolutionary algorithms. (English) Zbl 1124.68091
Studies in Computational Intelligence 75. Berlin: Springer (ISBN 978-3-540-73296-9/hbk). xv, 403 p. (2007).
Publisher’s description: Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in “Hybrid Evolutionary Algorithms”. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
The articles of this volume will not be indexed individually.

MSC:
68T05 Learning and adaptive systems in artificial intelligence
68T20 Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)
68W05 Nonnumerical algorithms
68-06 Proceedings, conferences, collections, etc. pertaining to computer science
68U99 Computing methodologies and applications
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