Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems
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 opt...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/29979/1/Hybrid%20bacterial%20foraging%20sine%20cosine%20algorithm%20for%20solving.pdf |
| _version_ | 1796994346431545344 |
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| author | Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Raja Mohd Taufika, Raja Ismail Ahmad Azwan, Abdul Razak Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal |
| author_facet | Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Raja Mohd Taufika, Raja Ismail Ahmad Azwan, Abdul Razak Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal |
| author_sort | Shuhairie, Mohammad |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:46:32Z |
| format | Conference or Workshop Item |
| id | UMPir29979 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:46:32Z |
| publishDate | 2020 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir299792022-06-21T02:04:48Z http://umpir.ump.edu.my/id/eprint/29979/ Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Raja Mohd Taufika, Raja Ismail Ahmad Azwan, Abdul Razak Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal TK Electrical engineering. Electronics Nuclear engineering 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. IOP Publishing 2020-09-21 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/29979/1/Hybrid%20bacterial%20foraging%20sine%20cosine%20algorithm%20for%20solving.pdf 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) https://doi.org/10.1088/1757-899X/917/1/012081 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Raja Mohd Taufika, Raja Ismail Ahmad Azwan, Abdul Razak Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| title | Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| title_full | Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| title_fullStr | Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| title_full_unstemmed | Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| title_short | Hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| title_sort | hybrid bacterial foraging sine cosine algorithm for solving global optimization problems |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/29979/1/Hybrid%20bacterial%20foraging%20sine%20cosine%20algorithm%20for%20solving.pdf |
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