Opposition-based Whale Optimization Algorithm
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 f...
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ump-199702018-11-13T01:53:11Z http://umpir.ump.edu.my/id/eprint/19970/ Opposition-based Whale Optimization Algorithm Alamri, Hammoudeh S. Alsariera, Yazan A. Kamal Z., Zamli QA76 Computer software 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. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19970/1/Opposition-based%20Whale%20Optimization%20Algorithm.pdf 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 https://doi.org/10.1166/asl.2018.12959 DOI: 10.1166/asl.2018.12959 |
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QA76 Computer software Alamri, Hammoudeh S. Alsariera, Yazan A. Kamal Z., Zamli Opposition-based Whale Optimization Algorithm |
description |
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. |
format |
Article |
author |
Alamri, Hammoudeh S. Alsariera, Yazan A. Kamal Z., Zamli |
author_facet |
Alamri, Hammoudeh S. Alsariera, Yazan A. Kamal Z., Zamli |
author_sort |
Alamri, Hammoudeh S. |
title |
Opposition-based Whale Optimization Algorithm |
title_short |
Opposition-based Whale Optimization Algorithm |
title_full |
Opposition-based Whale Optimization Algorithm |
title_fullStr |
Opposition-based Whale Optimization Algorithm |
title_full_unstemmed |
Opposition-based Whale Optimization Algorithm |
title_sort |
opposition-based whale optimization algorithm |
publisher |
American Scientific Publisher |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/19970/ http://umpir.ump.edu.my/id/eprint/19970/ http://umpir.ump.edu.my/id/eprint/19970/ http://umpir.ump.edu.my/id/eprint/19970/1/Opposition-based%20Whale%20Optimization%20Algorithm.pdf |
first_indexed |
2023-09-18T22:28:37Z |
last_indexed |
2023-09-18T22:28:37Z |
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1777416135472316416 |