Overview
- Reports recent research results on Hybrid Evolutionary Algorithms
Part of the book series: Studies in Computational Intelligence (SCI, volume 75)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Hybrid Evolutionary Algorithms
Editors: Ajith Abraham, Crina Grosan, Hisao Ishibuchi
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-73297-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-73296-9Published: 19 September 2007
Softcover ISBN: 978-3-642-09235-0Published: 16 November 2010
eBook ISBN: 978-3-540-73297-6Published: 29 August 2007
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 404
Topics: Computer-Aided Engineering (CAD, CAE) and Design, Mathematical and Computational Engineering, Artificial Intelligence