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Selçuk Journal
of
Applied Mathematics
Summer-Autumn, 2002
Volume 3
Number 2
Research Center
of
Applied Mathematics
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SJAM
Summer-Autumn 2002, Volume 3 - Number 2
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Efficient strategies for optimization with genetic algorithms |
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Hans- Joachim Bungartz, Igor Trajkovski |
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Institute of Paralel and Distributed Systems,
University of Stuttgart,
Breitwiesenstr. 20-22, D 70565 Stuttgart, Germany
email :
bungartz@informatik.uni-stuttgart.de ;
email:
trajkoig@informatik.uni-stuttgart.de
Received: November 9, 2002
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Summary
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. |
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Key
words
optimization, genetic algorithms, parallel algorithms.
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2000 Mathematics Subject Classification :
68W10, 90C27, 68R05
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Article
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Article
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