Proceedings of the 10th World Congress on Intelligent Control and Automation 2012
DOI: 10.1109/wcica.2012.6357934
|View full text |Cite
|
Sign up to set email alerts
|

A discrete artificial bee colony algorithm for the blocking flow shop scheduling problem

Abstract: This paper presents a discrete bee colony algorithm for solving the blocking flow shop scheduling problem with makespan criterion. Based on the idea of iterated greedy algorithm, some new schemes for employed bee, onlooker bee and scout bee are designed. The performance of the proposed algorithm is tested on the well-known benchmark set of Taillard, and the computational results validate the effectiveness of the discrete bee colony algorithm in comparison with two recently proposed state-of-the-art algorithms.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2014
2014
2015
2015

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 22 publications
(48 reference statements)
0
2
0
Order By: Relevance
“…In the mutation part, the bestrandinsert operation [30] is introduced. The procedure of the bestrandinsert is described as follows.…”
Section: Scroungermentioning
confidence: 99%
“…In the mutation part, the bestrandinsert operation [30] is introduced. The procedure of the bestrandinsert is described as follows.…”
Section: Scroungermentioning
confidence: 99%
“…Nevertheless, on account of its continuous nature, the studies on ABC algorithm for production scheduling problems are still in their infancy. In the latest study, some researchers have successfully applied ABC-based algorithm to a series of scheduling problems, such as permutation flow shop scheduling problem [30], blocking flow shop scheduling problem [31,32], lot-streaming flow shop scheduling problem [33,34], multiobjective flexible job shop scheduling problem [35], and steelmaking process scheduling problem [36].…”
Section: Introductionmentioning
confidence: 99%