Paper Info
Title
An imperialist competitive algorithm with feedback for energy-efficient flexible job shop scheduling with transportation and sequence-dependent setup times
Abstract
Flexible job shop scheduling problems have been extensively investigated in the past decade; however, transportation, sequence-dependent setup times (SDST) and energy efficiency are seldom incorporated together in flexible job shop. In this paper, energy-efficient flexible job shop scheduling problem (EFJSP) with transportation and SDST is considered and an imperialist competitive algorithm with feedback (FICA) is developed to minimize makespan, total tardiness and total energy consumption simultaneously. Assimilation and adaptive revolution are newly implemented by feedback and a new imperialist competition is presented by solution transferring among empires and the reinforced search. Extensive experiments are conducted and the computational results demonstrate that FICA provides promising results for EFJSP with transportation and SDST.
Year
DOI
Venue
2021
10.1016/j.engappai.2021.104307
Engineering Applications of Artificial Intelligence
Keywords
DocType
Volume
Imperialist competitive algorithm,Flexible job shop scheduling,Sequence-dependent setup times,Transportation,Feedback
Journal
103
ISSN
Citations 
PageRank 
0952-1976
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ming Li100.34
De-ming Lei217618.60