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Human designed vs. genetically programmed differential evolution operators

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Human designed vs. genetically programmed differential evolution operators. / Pavlidis, Nicos; Tasoulis, Dimitrios K; Plagianakos, V. P. et al.
IEEE Congress on Evolutionary Computation (CEC 2006). IEEE, 2006. p. 1880-1886.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Pavlidis, N, Tasoulis, DK, Plagianakos, VP & Vrahatis, MN 2006, Human designed vs. genetically programmed differential evolution operators. in IEEE Congress on Evolutionary Computation (CEC 2006). IEEE, pp. 1880-1886. https://doi.org/10.1109/CEC.2006.1688536

APA

Pavlidis, N., Tasoulis, D. K., Plagianakos, V. P., & Vrahatis, M. N. (2006). Human designed vs. genetically programmed differential evolution operators. In IEEE Congress on Evolutionary Computation (CEC 2006) (pp. 1880-1886). IEEE. https://doi.org/10.1109/CEC.2006.1688536

Vancouver

Pavlidis N, Tasoulis DK, Plagianakos VP, Vrahatis MN. Human designed vs. genetically programmed differential evolution operators. In IEEE Congress on Evolutionary Computation (CEC 2006). IEEE. 2006. p. 1880-1886 doi: 10.1109/CEC.2006.1688536

Author

Pavlidis, Nicos ; Tasoulis, Dimitrios K ; Plagianakos, V. P. et al. / Human designed vs. genetically programmed differential evolution operators. IEEE Congress on Evolutionary Computation (CEC 2006). IEEE, 2006. pp. 1880-1886

Bibtex

@inproceedings{71fb751b3a164c7ea960e15c422c5393,
title = "Human designed vs. genetically programmed differential evolution operators",
abstract = "The hybridization and combination of different Evolutionary Algorithms to improve the quality of the solutions and to accelerate execution is a common research practice. In this paper, we utilize Genetic Programming to evolve novel Differential Evolution operators. The genetic evolution resulted in parameter free Differential Evolution operators. Our experimental results indicate that the performance of the genetically programmed operators is comparable and in some cases is considerably better than the already existing human designed ones.",
author = "Nicos Pavlidis and Tasoulis, {Dimitrios K} and Plagianakos, {V. P.} and Vrahatis, {Michael N.}",
year = "2006",
doi = "10.1109/CEC.2006.1688536",
language = "English",
isbn = "0-7803-9487-9 ",
pages = "1880--1886",
booktitle = "IEEE Congress on Evolutionary Computation (CEC 2006)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Human designed vs. genetically programmed differential evolution operators

AU - Pavlidis, Nicos

AU - Tasoulis, Dimitrios K

AU - Plagianakos, V. P.

AU - Vrahatis, Michael N.

PY - 2006

Y1 - 2006

N2 - The hybridization and combination of different Evolutionary Algorithms to improve the quality of the solutions and to accelerate execution is a common research practice. In this paper, we utilize Genetic Programming to evolve novel Differential Evolution operators. The genetic evolution resulted in parameter free Differential Evolution operators. Our experimental results indicate that the performance of the genetically programmed operators is comparable and in some cases is considerably better than the already existing human designed ones.

AB - The hybridization and combination of different Evolutionary Algorithms to improve the quality of the solutions and to accelerate execution is a common research practice. In this paper, we utilize Genetic Programming to evolve novel Differential Evolution operators. The genetic evolution resulted in parameter free Differential Evolution operators. Our experimental results indicate that the performance of the genetically programmed operators is comparable and in some cases is considerably better than the already existing human designed ones.

U2 - 10.1109/CEC.2006.1688536

DO - 10.1109/CEC.2006.1688536

M3 - Conference contribution/Paper

SN - 0-7803-9487-9

SP - 1880

EP - 1886

BT - IEEE Congress on Evolutionary Computation (CEC 2006)

PB - IEEE

ER -