Empirical testing on 3-parents differential evolution (3PDE) for unconstrained function optimization

Teng, Sing Teng and Teo, Jason Tze Wi and Mohd H. A. Hijazi, (2008) Empirical testing on 3-parents differential evolution (3PDE) for unconstrained function optimization. In: 2007 IEEE Congress on Evolutionary Computation (CEC 2007), 25-28 September 2007.

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Official URL: http://dx.doi.org/10.1109/CEC.2007.4424752


The objective of this paper is to investigate whether the performance of the self-adaptive the parameters in 3PDE can Improve the performance for function optimization. In this paper, we firstly propose three new algorithms (3PDE-SACr, 3PDE-SAF and 3PDE-SACrF). The preliminary testing is carried out to compare their performance with 3PDE to determine the best algorithm for the next step to self-adapt the population size. Here, the best algorithm from the preliminary testing will be chosen for the testing on self-adapting the population size in absolute and relative encodings. The preliminary testing showed that 3PDE-SAF performed the best for the first three proposed algorithms. So, 3PDE-SAF is chosen for the self-adaptive population size to test in absolute (3PDE-SAF-Abs) and relative (3PDE-SAF-Rel) encodings and the final result showed that 3PDE-SAF-Rel performed slightly better than all the proposed algorithms in terms of its average performance and its stability. © 2007 IEEE.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Algorithms, Differential equations, Function evaluation, Parameter estimation 3-parents differential evolution (3PDE), Unconstrained function optimization Constrained optimization
Subjects:?? QA150-272.5 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:2717
Deposited By:IR Admin
Deposited On:06 Apr 2011 15:48
Last Modified:30 Dec 2014 14:43

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