The Chaos-Based Whale Optimization Algorithms Global Optimization

Whale optimization algorithm (WOA) is one of the methods used effectively and efficiently to solve optimization problems in various fields. In the study, 5 different discrete chaotic maps were used in the aim of increasing the efficacy and efficiency of the WOA algorithm. CBWOA 1, CBWOA 2, CBWOA 3 a...

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Bibliographic Details
Published in:	Chaos theory and applications Vol. 1; no. 1; pp. 51 - 63
Main Authors:	Ali Fuat Boz, Durmuş Karayel, Murat Erhan Cimen, Zeynep Garip
Format:	Journal Article
Language:	English
Published:	Akif AKGUL 01.11.2019
Subjects:	chaos discrete time chaotic systems whale optimization algorithm
ISSN:	2687-4539
Online Access:	Get full text
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Summary:	Whale optimization algorithm (WOA) is one of the methods used effectively and efficiently to solve optimization problems in various fields. In the study, 5 different discrete chaotic maps were used in the aim of increasing the efficacy and efficiency of the WOA algorithm. CBWOA 1, CBWOA 2, CBWOA 3 and CBWOA 4 algorithms based on chaotic maps and whale optimization algorithm have been proposed for global optimization. In order to adjust the parameters contained in the WOA, random number sequences from Tinkerbell, Sine, Logistic, Tent and Henon chaotic maps were used. In order to test the accuracy of the developed algorithms and do the performance analysis, six different unimodal and multimodal benchmark functions were used. According to the simulation results, all the chaotic maps used in the study significantly improved the performance of the WOA algorithm.
ISSN:	2687-4539