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Parallel differential evolution

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Parallel differential evolution. / Tasoulis, DK; Pavlidis, Nicos; Plagianakos, Vassilis P.; Vrahatis, Michael N.

IEEE Congress on Evolutionary Computation (CEC 2004). IEEE, 2004. p. 2023-2029.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Tasoulis, DK, Pavlidis, N, Plagianakos, VP & Vrahatis, MN 2004, Parallel differential evolution. in IEEE Congress on Evolutionary Computation (CEC 2004). IEEE, pp. 2023-2029. https://doi.org/10.1109/CEC.2004.1331145

APA

Tasoulis, DK., Pavlidis, N., Plagianakos, V. P., & Vrahatis, M. N. (2004). Parallel differential evolution. In IEEE Congress on Evolutionary Computation (CEC 2004) (pp. 2023-2029). IEEE. https://doi.org/10.1109/CEC.2004.1331145

Vancouver

Tasoulis DK, Pavlidis N, Plagianakos VP, Vrahatis MN. Parallel differential evolution. In IEEE Congress on Evolutionary Computation (CEC 2004). IEEE. 2004. p. 2023-2029 https://doi.org/10.1109/CEC.2004.1331145

Author

Tasoulis, DK ; Pavlidis, Nicos ; Plagianakos, Vassilis P. ; Vrahatis, Michael N. / Parallel differential evolution. IEEE Congress on Evolutionary Computation (CEC 2004). IEEE, 2004. pp. 2023-2029

Bibtex

@inproceedings{10786a23996a4838b564bebf037e83e0,
title = "Parallel differential evolution",
abstract = "Parallel processing has emerged as a key enabling technology in modern computing. Recent software advances have allowed collections of heterogeneous computers to be used as a concurrent computational resource. In this work we explore how differential evolution can be parallelized, using a ring-network topology, so as to improve both the speed and the performance of the method. Experimental results indicate that the extent of information exchange among subpopulations assigned to different processor nodes, bears a significant impact on the performance of the algorithm. Furthermore, not all the mutation strategies of the differential evolution algorithm are equally sensitive to the value of this parameter.",
author = "DK Tasoulis and Nicos Pavlidis and Plagianakos, {Vassilis P.} and Vrahatis, {Michael N.}",
year = "2004",
doi = "10.1109/CEC.2004.1331145",
language = "English",
isbn = "0-7803-8515-2 ",
pages = "2023--2029",
booktitle = "IEEE Congress on Evolutionary Computation (CEC 2004)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Parallel differential evolution

AU - Tasoulis, DK

AU - Pavlidis, Nicos

AU - Plagianakos, Vassilis P.

AU - Vrahatis, Michael N.

PY - 2004

Y1 - 2004

N2 - Parallel processing has emerged as a key enabling technology in modern computing. Recent software advances have allowed collections of heterogeneous computers to be used as a concurrent computational resource. In this work we explore how differential evolution can be parallelized, using a ring-network topology, so as to improve both the speed and the performance of the method. Experimental results indicate that the extent of information exchange among subpopulations assigned to different processor nodes, bears a significant impact on the performance of the algorithm. Furthermore, not all the mutation strategies of the differential evolution algorithm are equally sensitive to the value of this parameter.

AB - Parallel processing has emerged as a key enabling technology in modern computing. Recent software advances have allowed collections of heterogeneous computers to be used as a concurrent computational resource. In this work we explore how differential evolution can be parallelized, using a ring-network topology, so as to improve both the speed and the performance of the method. Experimental results indicate that the extent of information exchange among subpopulations assigned to different processor nodes, bears a significant impact on the performance of the algorithm. Furthermore, not all the mutation strategies of the differential evolution algorithm are equally sensitive to the value of this parameter.

U2 - 10.1109/CEC.2004.1331145

DO - 10.1109/CEC.2004.1331145

M3 - Conference contribution/Paper

SN - 0-7803-8515-2

SP - 2023

EP - 2029

BT - IEEE Congress on Evolutionary Computation (CEC 2004)

PB - IEEE

ER -