LAPSE:2018.0469
Published Article
LAPSE:2018.0469
A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems
Jiangtao Yu, Chang-Hwan Kim, Abdul Wadood, Tahir Khurshiad, Sang-Bong Rhee
September 20, 2018
The economic load dispatch (ELD) problem is an optimization problem of minimizing the total fuel cost of generators while satisfying power balance constraints, operating capacity limits, ramp-rate limits and prohibited operating zones. In this paper, a novel multi-population based chaotic JAYA algorithm (MP-CJAYA) is proposed to solve the ELD problem by applying the multi-population method (MP) and chaotic optimization algorithm (COA) on the original JAYA algorithm to guarantee the best solution of the problem. MP-CJAYA is a modified version where the total population is divided into a certain number of sub-populations to control the exploration and exploitation rates, at the same time a chaos perturbation is implemented on each sub-population during every iteration to keep on searching for the global optima. The proposed MP-CJAYA has been adopted to ELD cases and the results obtained have been compared with other well-known algorithms reported in the literature. The comparisons have indicated that MP-CJAYA outperforms all the other algorithms, achieving the best performance in all the cases, which indicates that MP-CJAYA is a promising alternative approach for solving ELD problems.
Keywords
chaos optimization algorithm (COA), economic load dispatch problem (ELD), JAYA algorithm, multi-population method (MP), optimization methods
Suggested Citation
Yu J, Kim CH, Wadood A, Khurshiad T, Rhee SB. A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems. (2018). LAPSE:2018.0469
Author Affiliations
Yu J: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea; Department of Electronic Information and Electrical Engineering, Anyang Institute of Technology, Anyang 455000, China [ORCID]
Kim CH: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea [ORCID]
Wadood A: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Khurshiad T: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Rhee SB: Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E1946
Year
2018
Publication Date
2018-07-26
Published Version
ISSN
1996-1073
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PII: en11081946, Publication Type: Journal Article
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doi:10.3390/en11081946
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Sep 20, 2018
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Calvin Tsay
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