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Vector evaluated differential evolution for multiobjective optimization

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Vector evaluated differential evolution for multiobjective optimization. / Parsopoulos, K. E.; Tasoulis, D. K.; Pavlidis, N. G. et al.
Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. IEEE, 2004. p. 204-211 (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004; Vol. 1).

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

Harvard

Parsopoulos, KE, Tasoulis, DK, Pavlidis, NG, Plagianakos, VP & Vrahatis, MN 2004, Vector evaluated differential evolution for multiobjective optimization. in Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, vol. 1, IEEE, pp. 204-211, Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, Portland, OR, United States, 19/06/04. https://doi.org/10.1109/CEC.2004.1330858

APA

Parsopoulos, K. E., Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., & Vrahatis, M. N. (2004). Vector evaluated differential evolution for multiobjective optimization. In Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 (pp. 204-211). (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004; Vol. 1). IEEE. https://doi.org/10.1109/CEC.2004.1330858

Vancouver

Parsopoulos KE, Tasoulis DK, Pavlidis NG, Plagianakos VP, Vrahatis MN. Vector evaluated differential evolution for multiobjective optimization. In Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. IEEE. 2004. p. 204-211. (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004). doi: 10.1109/CEC.2004.1330858

Author

Parsopoulos, K. E. ; Tasoulis, D. K. ; Pavlidis, N. G. et al. / Vector evaluated differential evolution for multiobjective optimization. Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. IEEE, 2004. pp. 204-211 (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004).

Bibtex

@inproceedings{471f22829dea414996029bcba6a58dd6,
title = "Vector evaluated differential evolution for multiobjective optimization",
abstract = "A parallel, multi-population Differential Evolution algorithm for multiobjective optimization is introduced. The algorithm is equipped with a domination selection operator to enhance its performance by favoring non-dominated individuals in the populations. Preliminary experimental results on widely used test problems are promising. Comparisons with the VEGA approach are provided and discussed.",
author = "Parsopoulos, {K. E.} and Tasoulis, {D. K.} and Pavlidis, {N. G.} and Plagianakos, {V. P.} and Vrahatis, {M. N.}",
year = "2004",
month = sep,
day = "13",
doi = "10.1109/CEC.2004.1330858",
language = "English",
isbn = "0780385152",
series = "Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004",
publisher = "IEEE",
pages = "204--211",
booktitle = "Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004",
note = "Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 ; Conference date: 19-06-2004 Through 23-06-2004",

}

RIS

TY - GEN

T1 - Vector evaluated differential evolution for multiobjective optimization

AU - Parsopoulos, K. E.

AU - Tasoulis, D. K.

AU - Pavlidis, N. G.

AU - Plagianakos, V. P.

AU - Vrahatis, M. N.

PY - 2004/9/13

Y1 - 2004/9/13

N2 - A parallel, multi-population Differential Evolution algorithm for multiobjective optimization is introduced. The algorithm is equipped with a domination selection operator to enhance its performance by favoring non-dominated individuals in the populations. Preliminary experimental results on widely used test problems are promising. Comparisons with the VEGA approach are provided and discussed.

AB - A parallel, multi-population Differential Evolution algorithm for multiobjective optimization is introduced. The algorithm is equipped with a domination selection operator to enhance its performance by favoring non-dominated individuals in the populations. Preliminary experimental results on widely used test problems are promising. Comparisons with the VEGA approach are provided and discussed.

U2 - 10.1109/CEC.2004.1330858

DO - 10.1109/CEC.2004.1330858

M3 - Conference contribution/Paper

AN - SCOPUS:4344640460

SN - 0780385152

SN - 9780780385153

T3 - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004

SP - 204

EP - 211

BT - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004

PB - IEEE

T2 - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004

Y2 - 19 June 2004 through 23 June 2004

ER -