Parameter Setting in Evolutionary Algorithms
Editors: Lobo, F.J., Lima, Cláudio F., Michalewicz, Zbigniew (Eds.)
Free PreviewBuy this book
- About this book
-
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
- Table of contents (15 chapters)
-
-
Parameter Setting in EAs: a 30 Year Perspective
Pages 1-18
-
Parameter Control in Evolutionary Algorithms
Pages 19-46
-
Self-Adaptation in Evolutionary Algorithms
Pages 47-75
-
Adaptive Strategies for Operator Allocation
Pages 77-90
-
Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms
Pages 91-119
-
Table of contents (15 chapters)
- Download Preface 1 PDF (76 KB)
- Download Table of contents PDF (100.5 KB)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Parameter Setting in Evolutionary Algorithms
- Editors
-
- F.J. Lobo
- Cláudio F. Lima
- Zbigniew Michalewicz
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 54
- Copyright
- 2007
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-69432-8
- DOI
- 10.1007/978-3-540-69432-8
- Hardcover ISBN
- 978-3-540-69431-1
- Softcover ISBN
- 978-3-642-08892-6
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XII, 318
- Number of Illustrations
- 100 b/w illustrations
- Topics
