Comparative study of five metaheuristic algorithms for team formation problem
This paper presents a comparative study of five metaheuristic algorithms, namely, salp swarm algorithm (SSA), owl search algorithm (OSA), sooty tern optimization algorithm (STOA), squirrel search algorithm (SqSA), and crow search algorithm (CSA) adopted in the Covid19 team formation (CTF) problem. T...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32780/ http://umpir.ump.edu.my/id/eprint/32780/1/18.%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf http://umpir.ump.edu.my/id/eprint/32780/2/18.1%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf |
| _version_ | 1848824108407586816 |
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| author | Kader, Md. Abdul Kamal Z., Zamli |
| author_facet | Kader, Md. Abdul Kamal Z., Zamli |
| author_sort | Kader, Md. Abdul |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents a comparative study of five metaheuristic algorithms, namely, salp swarm algorithm (SSA), owl search algorithm (OSA), sooty tern optimization algorithm (STOA), squirrel search algorithm (SqSA), and crow search algorithm (CSA) adopted in the Covid19 team formation (CTF) problem. The performance comparison of these algorithms is conducted by executing each algorithm twenty times to ensure the statistical significance. The study considers the minimum number of experts and the minimum team formation cost in defining the objective function. The CSA was found to be the more effective metaheuristic algorithm for the Covid19 team formation problem from the optimal results in terms of overall solution quality and runtime efficiency. |
| first_indexed | 2025-11-15T03:07:47Z |
| format | Conference or Workshop Item |
| id | ump-32780 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:07:47Z |
| publishDate | 2021 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-327802022-06-14T04:58:09Z http://umpir.ump.edu.my/id/eprint/32780/ Comparative study of five metaheuristic algorithms for team formation problem Kader, Md. Abdul Kamal Z., Zamli QA76 Computer software This paper presents a comparative study of five metaheuristic algorithms, namely, salp swarm algorithm (SSA), owl search algorithm (OSA), sooty tern optimization algorithm (STOA), squirrel search algorithm (SqSA), and crow search algorithm (CSA) adopted in the Covid19 team formation (CTF) problem. The performance comparison of these algorithms is conducted by executing each algorithm twenty times to ensure the statistical significance. The study considers the minimum number of experts and the minimum team formation cost in defining the objective function. The CSA was found to be the more effective metaheuristic algorithm for the Covid19 team formation problem from the optimal results in terms of overall solution quality and runtime efficiency. Springer 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32780/1/18.%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf pdf en http://umpir.ump.edu.my/id/eprint/32780/2/18.1%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf Kader, Md. Abdul and Kamal Z., Zamli (2021) Comparative study of five metaheuristic algorithms for team formation problem. In: Lecture Notes in Mechanical Engineering; Human Engineering Symposium, HUMENS 2021 , 22 February 2021 , Virtual Conference. 133 -143. (266559). ISSN 2195-4356 ISBN 978-981164114-5 (Published) https://doi.org/10.1007/978-981-16-4115-2_10 |
| spellingShingle | QA76 Computer software Kader, Md. Abdul Kamal Z., Zamli Comparative study of five metaheuristic algorithms for team formation problem |
| title | Comparative study of five metaheuristic algorithms for team formation problem |
| title_full | Comparative study of five metaheuristic algorithms for team formation problem |
| title_fullStr | Comparative study of five metaheuristic algorithms for team formation problem |
| title_full_unstemmed | Comparative study of five metaheuristic algorithms for team formation problem |
| title_short | Comparative study of five metaheuristic algorithms for team formation problem |
| title_sort | comparative study of five metaheuristic algorithms for team formation problem |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/32780/ http://umpir.ump.edu.my/id/eprint/32780/ http://umpir.ump.edu.my/id/eprint/32780/1/18.%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf http://umpir.ump.edu.my/id/eprint/32780/2/18.1%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf |