Comparative study of five metaheuristic algorithms for team formation problem

• المؤلفون الرئيسيون: Kader, Md. Abdul, Kamal Z., Zamli
• التنسيق: Conference or Workshop Item
• اللغة: English; English
• منشور في: Springer 2021
• الموضوعات: QA76 Computer software
• الوصول للمادة أونلاين: 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...