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 0-7803-9487-9Full text not available from this repository.
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|
|Departments:||Lancaster University Management School > Management Science|
|Deposited On:||09 Nov 2011 14:12|
|Last Modified:||22 Feb 2017 02:03|
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