Hybrid evolutionary algorithms / Crina Grosan, Ajith Abraham, Hisao Ishibuchi (eds.).
"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...
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| Other Authors: | , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
2007.
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| Series: | Studies in computational intelligence ; 75.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1281045713 3540732977 9781281045713 9783540732976 |