A hybrid ITLHHO algorithm for numerical and engineering optimization problems

International Journal of Intelligent SystemsVolume 37, Issue 7 p. 3900-3980 RESEARCH ARTICLE A hybrid ITLHHO algorithm for numerical and engineering optimization problems Tanmay Kundu, Tanmay Kundu orcid.org/0000-0003-3751-4526 Mathematics Discipline, PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh, IndiaSearch for more papers by this authorHarish Garg, Corresponding Author Harish Garg harishg58iitr@gmail.com orcid.org/0000-0001-9099-8422 School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab, India Correspondence Harish Garg, School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala 147004, Punjab, India. Email: harishg58iitr@gmail.comSearch for more papers by this author Tanmay Kundu, Tanmay Kundu orcid.org/0000-0003-3751-4526 Mathematics Discipline, PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh, IndiaSearch for more papers by this authorHarish Garg, Corresponding Author Harish Garg harishg58iitr@gmail.com orcid.org/0000-0001-9099-8422 School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab, India Correspondence Harish Garg, School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala 147004, Punjab, India. Email: harishg58iitr@gmail.comSearch for more papers by this author First published: 13 October 2021 https://doi.org/10.1002/int.22707Citations: 8Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Harris hawks optimization (HHO) is one of the newest metaheuristic algorithms (MHAs) which mimic the interdependent behaviour and hunting style of Harris hawks in nature. It is an efficient swarm optimization technique that has been used to solve various kinds of optimization problems. However, for some optimization cases, it has a tendency to be trapped into local search space and it endures an improper balance between exploitation and exploration. To get rid of this situation and to explore the global searching ability of HHO, an effective hybrid method improved teaching–learning HHO (ITLHHO) has been developed using improved teaching–learning-based optimization for solving different kinds of engineering design and numerical optimization problems. The performance of ITLHHO has been demonstrated by 33 well-known benchmark functions, including IEEE Congress of Evolutionary Computation Benchmark Test Functions (CEC-C06, 2019 Competition) and 10 multidisciplinary challenging engineering optimization problems. After illustration, the outcomes of the proposed ITLHHO are compared with several recently developed competitive MHAs. Additionally, the ITLHHO results are statistically investigated with the Wilcoxon rank-sum test and multiple comparison test to show the significance of the results. The experimental results suggest that ITLHHO significantly outperforms other algorithms and becomes a remarkable and promising tool for solving various kinds of optimization problems. CONFLICT OF INTERESTS The authors declare that there are no conflict of interests. Citing Literature Volume37, Issue7July 2022Pages 3900-3980 RelatedInformation