ENGLISH

Parameter Setting in Evolutionary Algorithms

By Cláudio F. Lima , Kenneth De Jong (auth.) , Fernando G. Lobo , Zbigniew Michalewicz (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2007
ISBN
3540694315, 9783540694311
DOI
10.1007/978-3-540-69432-8
Google Books ID
vfjLsGBmi7kC
Open Library ID
OL12810216M
Language
english
Format
PDF
Filesize
6 MB (6392504 bytes)
Series
Studies in Computational Intelligence 54
Edition
1
Pages
318\327
Orientation
yes
Scanned
yes
Time added
2011-08-31 04:54:40
Appl.Mathematics/Computational Methods of Engineer

Description

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.

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