1. Cosine adapted modified whale optimization algorithm for control of switched reluctance motor.
- Author
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Saha, Nutan and Panda, Sidhartha
- Subjects
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SWITCHED reluctance motors , *MATHEMATICAL optimization , *METAHEURISTIC algorithms , *COSINE function , *HUMPBACK whale , *SEARCH engines , *CORRECTION factors , *PARTICLE swarm optimization - Abstract
Whale optimization algorithm (WOA) imitates social conduct of humpback whales which is inspired by bubble net hunting strategy of humpback whales. In the present study, Cosine adapted modified whale optimization algorithm (CamWOA) which is a modified version of WOA, has been proposed where cosine function is incorporated for the selection of control parameter "d" which governs the position of whales during optimization process. Also, correction factors are employed to modify the movement of search agents during the search process. These changes provide a proper balance between exploration and exploitation phases in CamWOA technique. The performance of CamWOA is analyzed by testing on a set of benchmark functions and compared with other state‐of‐the‐art algorithms. It is observed that CamWOA outperforms other state‐of‐the‐art metaheuristic algorithms in majority of benchmark functions. The efficiency of CamWOA is also evaluated by solving a multiobjective engineering problem pertaining to control of switched reluctance motor. The simulation results confirm that CamWOA yields very promising and competitive results compared to that of WOA and other metaheuristic optimization algorithms. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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