Whale optimization algorithm: Theory, literature review, and application in designing photonic crystal filters
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Mirjalili, SM
Saremi, S
Mirjalili, S
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Mirjalili, Seyedali
Dong, Jin Song
Lewis, Andrew
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Abstract
This chapter presents and analyzes the Whale Optimization Algorithm. The inspiration of this algorithm is first discussed in details, which is the bubble-net foraging behaviour of humpback whales in nature. The mathematical models of this algorithm is then discussed. Due to the large number of applications, a brief literature review of WOA is provided including recent works on the algorithms itself and its applications. The chapter also tests the performance of WOA on several test functions and a real case study in the field of photonic crystal filter. The qualitative and quantitative results show that merits of this algorithm for solving a wide range of challenging problems.
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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications
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Artificial intelligence
Control engineering, mechatronics and robotics
Machine learning
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Mirjalili, S; Mirjalili, SM; Saremi, S; Mirjalili, S, Whale optimization algorithm: Theory, literature review, and application in designing photonic crystal filters, Nature-Inspired Optimizers: Theories, Literature Reviews and Applications, 2020, pp. 219-238