Shuhairie, Mohammad and Ahmad Nor Kasruddin, Nasir and Normaniha, Abd Ghani and Raja Mohd Taufika, Raja Ismail and Ahmad Azwan, Abdul Razak and Mohd Falfazli, Mat Jusof and Nurul Amira, Mhd Rizal (2020) Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems. In: IOP Conference Series: Materials Science and Engineering; 2020 International Conference on Technology, Engineering and Sciences, ICTES 2020 , 17 - 18 April 2020 , Penang. pp. 1-9., 917 (1). ISSN 1757-8981 (Print), 1757-899X (Online)
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Abstract
This paper proposes a new hybrid algorithm between Bacterial Foraging Algorithm (BFA) and Sine Cosine Algorithm (SCA) called Hybrid Bacterial Foraging Sine Cosine Algorithm (HBFSCA) to solve global optimization problems. The proposed HBFSCA algorithm synergizes the strength of BFA to avoid local optima with the adaptive step-size and highly randomized movement in SCA to achieve higher accuracy compared to its original counterparts. The performances of the proposed algorithm have been investigated on a set of single-objective minimization problems consist of 30 benchmark functions, which include unimodal, multimodal, hybrid, and composite functions. The results obtained from the test functions prove that the proposed algorithm outperforms its original counterparts significantly in terms of accuracy, convergence speed, and local optima avoidance.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Hybrid algorithm; Bacterial Foraging Algorithm (BFA); Sine Cosine Algorithm (SCA) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 21 Jun 2022 02:04 |
| Last Modified: | 21 Jun 2022 02:04 |
| URI: | http://umpir.ump.edu.my/id/eprint/29979 |
| Download Statistic: | View Download Statistics |
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