Paper Info
Title
A Novel Imperialist Competitive Algorithm For Fuzzy Distributed Assembly Flow Shop Scheduling
Abstract
Assembly flow shop scheduling problem with DPm -> 1 layout has important applications in various manufacturing systems and has been extensively considered in single factory; however, this problem with fuzzy processing time is seldom studied in multiple factories. In this paper, fuzzy distributed assembly flow shop scheduling problem (FDAFSP) is considered, in which each factory has DPm -> 1 layout, and an imperialist competitive algorithm with empire cooperation (ECICA) is developed to minimize fuzzy makespan. In ECICA, an adaptive empire cooperation between the strongest empire and the weakest empire is implemented by exchanging computing resources and search ability, historical evolution data are used and a new imperialist competition is adopted. Numerical experiments are conducted on various instances and ECICA is compared with the existing methods to test its performance. Computational results demonstrate that ECICA has promising advantages on solving FDAFSP.
Year
DOI
Venue
2021
10.3233/JIFS-201391
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Assembly flow shop scheduling, distributed scheduling, imperialist competitive algorithm, fuzzy makespan
Journal
40
Issue
ISSN
Citations 
3
1064-1246
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ming Li141.74
Bin Su295.00
De-ming Lei317618.60