- Title
- Whale optimization algorithm: Theory, literature review, and application in designing photonic crystal filters
- Creator
- Mirjalili, Seyedehzahra; Mirjalili, Seyed Mohammad; Saremi, Shahrzad; Mirjalili, Seyedali
- Relation
- Nature-Inspired Optimizers: Theories, Literature Reviews and Applications p. 219-238
- Relation
- Studies in Computational Intelligence 811
- Publisher Link
- http://dx.doi.org/10.1007/978-3-030-12127-3_13
- Publisher
- Springer
- Resource Type
- book chapter
- Date
- 2020
- Description
- 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.
- Subject
- whale optimization algorithm; humpback whales; photonic crystal filter; mathematical models
- Identifier
- http://hdl.handle.net/1959.13/1450005
- Identifier
- uon:43801
- Identifier
- ISBN:9783030121273
- Language
- eng
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