Comparative study of five metaheuristic algorithms for team formation problem

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

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Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Metaheuristic Algorithms; Crow Search Algo rithm; Covid19 Team Formation
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	14 Jun 2022 04:58
Last Modified:	14 Jun 2022 04:58
URI:	http://umpir.ump.edu.my/id/eprint/32780
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