The Moth-Flame Optimization Algorithm for Flow Shop Scheduling Problem with Travel Time

Main Authors: Amallynda, Ikhlasul, Hutama, Bhisma
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Department Industrial Engineering, University of Muhammadiyah Malang , 2021
Subjects:
Online Access: https://ejournal.umm.ac.id/index.php/industri/article/view/17019
https://ejournal.umm.ac.id/index.php/industri/article/view/17019/9871
Daftar Isi:
  • This article examined the flow shop scheduling problem by considering the travel time between machines. The objective function of this problem was to provide a makespan. The Moth Flame Optimization (MFO) algorithm was proposed to solve the flow shop problem. The MFO experiment was carried out with a combination of iteration parameters and the population of the MFO algorithm to solve the flow shop scheduling problem. The computational results showed that MFO could produce a better solution than the actual scheduling method. Furthermore, the MFO Proposal Algorithm was able to reduce the makespan by up to 3%.