Alamri, Hammoudeh S. and Alsariera, Yazan A. and Kamal Z., Zamli (2018) Opposition-based Whale Optimization Algorithm. Advanced Science Letters, 24 (10). pp. 7461-7464. ISSN 1936-6612. (Published)
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Abstract
The Whale Optimization Algorithm (WOA) is a newly proposed metaheuristic optimization algorithm, which simulate humpback whales hunting behavior. Like other population-based algorithms, WOA generate its population randomly during the exploration and exploitation phases, which could generate values far from the optimum solution or stuck the exploration around local optima. In order to improve solution accuracy and reliability, this paper proposes a new algorithm based on WOA. The new algorithm called Opposition-based Whale Optimization (OWOA). The OWOA use the Opposition-based method to enhance Whale Optimization Algorithm (WOA) performance. The OWOA looks for the solution in the opposite direction of suggested values to test if the opposite select has better solution. The OWOA is tested and compared with the original algorithm WOA and other metaheuristic methods. The benchmark results prove the efficiency of the OWOA being more efficient than WOA.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Metaheuristic, Optimization, Whale Optimization Algorithm, Opposition-based Learning, OBL. |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 27 Mar 2018 00:58 |
| Last Modified: | 13 Nov 2018 01:53 |
| URI: | http://umpir.ump.edu.my/id/eprint/19970 |
| Download Statistic: | View Download Statistics |
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