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

Seyedehzahra Mirjalili, Seyed Mohammad Mirjalili, Shahrzad Saremi, Seyedali Mirjalili

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages219-238
Number of pages20
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume811
ISSN (Print)1860-949X

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Cite this

Mirjalili, S., Mirjalili, S. M., Saremi, S., & Mirjalili, S. (2020). Whale optimization algorithm: Theory, literature review, and application in designing photonic crystal filters. In Studies in Computational Intelligence (pp. 219-238). (Studies in Computational Intelligence; Vol. 811). Springer Verlag. https://doi.org/10.1007/978-3-030-12127-3_13