Whale optimization algorithm: Theory, literature review, and application in designing photonic crystal filters

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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