Editors:
- Introduces new concepts in the area of evolutionary computation
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 192)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field.
This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective.
Editors and Affiliations
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Department of Computer Science and Artificial Intelligence, University of the Basque Country, Donostia-San Sebastian, Spain
Jose A. Lozano, Pedro Larrañaga, Iñaki Inza
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Intelligent Systems Group, Department of Architecture and Computer Technology, University of the Basque Country, Donostia-San Sebastián, Spain
Endika Bengoetxea
Bibliographic Information
Book Title: Towards a New Evolutionary Computation
Book Subtitle: Advances on Estimation of Distribution Algorithms
Editors: Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/3-540-32494-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-29006-3Published: 12 January 2006
Softcover ISBN: 978-3-642-06704-4Published: 25 November 2010
eBook ISBN: 978-3-540-32494-2Published: 21 January 2006
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XVI, 294
Number of Illustrations: 109 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Artificial Intelligence, Applications of Mathematics