A dual-population multi operators harmony search algorithm for dynamic optimization problems

Turky, A, Abdullah, S and Dawod, A 2018, 'A dual-population multi operators harmony search algorithm for dynamic optimization problems', Computers and Industrial Engineering, vol. 117, pp. 19-28.


Document type: Journal Article
Collection: Journal Articles

Title A dual-population multi operators harmony search algorithm for dynamic optimization problems
Author(s) Turky, A
Abdullah, S
Dawod, A
Year 2018
Journal name Computers and Industrial Engineering
Volume number 117
Start page 19
End page 28
Total pages 10
Publisher Elsevier
Abstract Dynamic optimization problems (DOPs) have been widely researched in recent years. This is due to its numerous practical applications in real-life conditions. To solve DOPs, the optimizer should be able to track the changes and simultaneously seek for global optima in the search space. This paper proposes a dual population multi operators harmony search algorithm for DOPs to deal with changes in the problem landscape. The main difference between the proposed algorithm and other techniques are twofold: dual population for exploring and exploiting the search space, and the use of multi operators at different points of the search. Extensive experiments were conducted on the Moving Peaks Benchmark (MPB) and six dynamic test functions proposed in the IEEE Congress on Evolutionary Computation (CEC 2009) were used to evaluate the performance of the proposed algorithm. Empirical results indicate the superiority of the proposed algorithm when compared to state-of-the-art algorithms from the literature.
Subject Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) Algorithm
Dual population
Dynamic optimization
Harmony search
Multi operators
DOI - identifier 10.1016/j.cie.2018.01.003
Copyright notice © 2018 Elsevier Ltd. All rights reserved.
ISSN 0360-8352
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