Publication Details

HYBRID PARALLEL SIMULATED ANNEALING USING GENETIC OPERATIONS

OHLÍDAL, M., SCHWARZ, J. HYBRID PARALLEL SIMULATED ANNEALING USING GENETIC OPERATIONS. In Mendel 2004 10th Internacional Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2004. p. 89-94. ISBN: 80-214-2676-4.
Czech title
Hybridní paralelní simulované žíhání používající genetické operátory
Type
conference paper
Language
English
Authors
Ohlídal Miloš, Ing., Ph.D.
Schwarz Josef, doc. Ing., CSc. (CM-SFE)
URL
Keywords

Optimization Problems, Parallel Simulated Annealing, Genetic Crossover, Hybrid Algorithm

Abstract

This paper deals with a new algorithm of a parallel simulated annealing HGSA which includes genetic crossover operations. The genetic crossover is used as an enhancement of the origin parallel simulated annealing PSA which allows to recombine solutions produced by individual simulate annealing processes at fixed time intervals. It is found that the proposed algorithm can speed-up the search the global optimum more effectively, compared to PAGASA [1] algorithm and parallel simulated annealing PSA. The performance of the HSGA algorithm is tested on the three known TSP benchmarks.

Published
2004
Pages
89–94
Proceedings
Mendel 2004 10th Internacional Conference on Soft Computing
ISBN
80-214-2676-4
Publisher
Faculty of Mechanical Engineering BUT
Place
Brno
BibTeX 
@inproceedings{BUT17335,
  author="Miloš {Ohlídal} and Josef {Schwarz}",
  title="HYBRID PARALLEL SIMULATED ANNEALING USING GENETIC OPERATIONS",
  booktitle="Mendel 2004 10th Internacional Conference on Soft Computing",
  year="2004",
  pages="89--94",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="80-214-2676-4",
  url="http://www.fit.vutbr.cz/~ohlidal/pubs/Mendel04.pdf"
}
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