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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| 格式: | Conference or Workshop Item |
| 语言: | English English |
| 出版: |
Springer
2021
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| 主题: | |
| 在线阅读: | 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 |
因特网
http://umpir.ump.edu.my/id/eprint/32780/1/18.%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdfhttp://umpir.ump.edu.my/id/eprint/32780/2/18.1%20Comparative%20study%20of%20five%20metaheuristic%20algorithms%20for%20team%20formation%20problem.pdf