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Differential Evolution with Population and Strategy Parameter Adaptation
Joint Authors
Gonuguntla, V.
Veluvolu, Kalyana C.
Mallipeddi, Rammohan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Differential evolution (DE) is simple and effective in solving numerous real-world global optimization problems.
However, its effectiveness critically depends on the appropriate setting of population size and strategy parameters.
Therefore, to obtain optimal performance the time-consuming preliminary tuning of parameters is needed.
Recently, different strategy parameter adaptation techniques, which can automatically update the parameters to appropriate values to suit the characteristics of optimization problems, have been proposed.
However, most of the works do not control the adaptation of the population size.
In addition, they try to adapt each strategy parameters individually but do not take into account the interaction between the parameters that are being adapted.
In this paper, we introduce a DE algorithm where both strategy parameters are self-adapted taking into account the parameter dependencies by means of a multivariate probabilistic technique based on Gaussian Adaptation working on the parameter space.
In addition, the proposed DE algorithm starts by sampling a huge number of sample solutions in the search space and in each generation a constant number of individuals from huge sample set are adaptively selected to form the population that evolves.
The proposed algorithm is evaluated on 14 benchmark problems of CEC 2005 with different dimensionality.
American Psychological Association (APA)
Gonuguntla, V.& Mallipeddi, Rammohan& Veluvolu, Kalyana C.. 2015. Differential Evolution with Population and Strategy Parameter Adaptation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073422
Modern Language Association (MLA)
Gonuguntla, V.…[et al.]. Differential Evolution with Population and Strategy Parameter Adaptation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073422
American Medical Association (AMA)
Gonuguntla, V.& Mallipeddi, Rammohan& Veluvolu, Kalyana C.. Differential Evolution with Population and Strategy Parameter Adaptation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073422