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Human designed vs. genetically programmed differential evolution operators

Pavlidis, Nicos and Tasoulis, Dimitrios K and Plagianakos, V. P. and Vrahatis, Michael N. (2006) Human designed vs. genetically programmed differential evolution operators. In: IEEE Congress on Evolutionary Computation (CEC 2006). IEEE, pp. 1880-1886. ISBN 0-7803-9487-9

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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.

Item Type: Contribution in Book/Report/Proceedings
Subjects:
Departments: Lancaster University Management School > Management Science
ID Code: 50922
Deposited By: ep_importer_pure
Deposited On: 09 Nov 2011 14:12
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 00:43
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/50922

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