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Optimisation of energy efficient hybrid flowshop scheduling problem using firefly algorithm

M. F. F., Ab Rashid and Mohd Abdul, Hadi Osman (2020) Optimisation of energy efficient hybrid flowshop scheduling problem using firefly algorithm. In: 10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020, 18 - 19 April 2020 , Malaysia. pp. 36-41.. ISBN 978-1-7281-5033-8

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Abstract

Hybrid Flowshop Scheduling (HFS) problem has been well studied in term of problem modelling and solution approaches. However, there were still less number of study on HFS with energy consideration. This paper proposed an optimisation scheme for energy efficient hybrid flowshop scheduling (EE-HFS) problem. In the HFS with non-identical machine capabilities, selection of machine determines the completion time and also energy utilisation. Therefore, the main issue is to assign jobs to specific machine in different stages with the purpose to minimise makespan and energy utilisation. The EE-HFS optimisation has been conducted using Firefly Algorithm (FA) on 12 benchmark HFS problem. The optimisation results indicated that the FA outperformed Ant Colony Optimisation, Particle Swarm Optimisation and Artificial Bee Colony algorithms in majority of the problems. Moreover, FA performed best in 82% of the individual optimisation objectives and achieved the fastest convergence compared with comparison algorithms.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Scheduling; Hybrid flow shop; Energy utilization, Firefly algorithm
Subjects: T Technology > TS Manufactures
Faculty/Division: College of Engineering
Depositing User: Dr. Mohd Fadzil Faisae Ab. Rashid
Date Deposited: 05 Oct 2020 02:11
Last Modified: 05 Oct 2020 02:11
URI: http://umpir.ump.edu.my/id/eprint/28787
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