Efficient strategies for optimization with genetic algorithms
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Date
2002
Journal Title
Journal ISSN
Volume Title
Publisher
Selcuk University Research Center of Applied Mathematics
Access Rights
info:eu-repo/semantics/openAccess
Abstract
Evolutionary strategies in general and genetic algorithms in particular have turned out to be of increasing relevance for various classes of optimization problems like combinatory problems as a discrete example or shape optimization as a continuous example. In this paper, we present efficient and powerful strategies for genetic algorithms and their application to two classes of optimization problems. Besides algorithmic aspects concerning the genetic essentials, the focus is put on the efficient implementation, both of the sequential and of the parallel versions.
Description
Keywords
Optimization, Optimizasyon, Genetic algorithms, Parallel algorithms
Journal or Series
Selcuk Journal of Applied Mathematics
WoS Q Value
Scopus Q Value
Volume
3
Issue
Citation
Bungartz, H. J., Trajkovski, I. (2002). Efficient strategies for optimization with genetic algorithms. Selcuk Journal of Applied Mathematics, 3 (2), 3-22.
