Comparative study of five metaheuristic algorithms for team formation problem

• Main Authors: Kader, Md. Abdul, Kamal Z., Zamli
• 格式: Conference or Workshop Item
• 語言: English; English
• 出版: Springer 2021
• 主題: QA76 Computer software
• 在線閱讀: 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; http://umpir.ump.edu.my/id/eprint/32780/; https://doi.org/10.1007/978-981-16-4115-2_10

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...