Publication detail

Hybrid parallel simulated annealing using genetic operations

OHLÍDAL, M.

Original Title

Hybrid parallel simulated annealing using genetic operations

Type

article in a collection out of WoS and Scopus

Language

English

Original 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 algorithm and parallel simulated annealing PSA. The performance of the HSGA algorithm is tested on the three known TSP benchmarks.

Keywords

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

Authors

OHLÍDAL, M.

Released

15. 9. 2004

Publisher

Slovak Academy of Science

Location

Bratislava

ISBN

80-969202-0-0

Book

Zborník príspevkov ze seminara Počítačové Architektury a Diagnostika

Pages from

48

Pages to

53

Pages count

6

BibTex

@inproceedings{BUT17564,
  author="Miloš {Ohlídal}",
  title="Hybrid parallel simulated annealing using genetic operations",
  booktitle="Zborník príspevkov ze seminara Počítačové Architektury a Diagnostika",
  year="2004",
  pages="48--53",
  publisher="Slovak Academy of Science",
  address="Bratislava",
  isbn="80-969202-0-0"
}