M. Z. M., Tumari and M. A., Ahmad and M. H., Suid (2021) An improved grey wolf optimizer with hyperbolic tangent updating mechanism for solving optimization problems. In: Recent Trends in Mechatronics Towards Industry 4.0: Selected Articles from iM3F 2020, Malaysia , 6 August 2020 , Universiti Malaysia Pahang (Virtual). pp. 451-462., 730. ISBN 978-981334596-6
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Abstract
The original algorithm of Grey Wolf Optimizer (GWO) has a common problem which is too soon to trap in local optima. This paper presents the Improved Grey Wolf Optimizer (IGWO) by modifying the updating mechanism of the original GWO. The main idea of the new improvement is by introducing a nonlinear updating mechanism based on the hyperbolic tangent function to improve the efficiency of the exploration and the exploitation phase and to decrease the probability of trapping in local optima. The effectiveness of the new approach is evaluated on 30 well-known benchmark functions, and the results are compared with the original GWO. The preliminary findings show that the IGWO algorithm is able to obtain very competitive results in terms of objective functions minimization compared to original GWO algorithms.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Grey Wolf Optimization; Optimization; Benchmark function; Improved Grey Wolf Optimization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 11 Nov 2022 04:01 |
| Last Modified: | 11 Nov 2022 04:01 |
| URI: | http://umpir.ump.edu.my/id/eprint/34313 |
| Download Statistic: | View Download Statistics |
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