DocumentCode
2780017
Title
A composite heuristic for the no-wait flow shop scheduling
Author
Kaizhou, Gao ; Suganthan, P.N. ; Zhenqiang, Bao
Author_Institution
Coll. of Comput. Sci., Liaocheng Univ., Liaocheng, China
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
5
Abstract
Heuristics that explore specific characteristics of the problem are essential to find good solutions in limited computational time for many practical systems. This paper first presents a constructive heuristic, namely improved standard deviation heuristic (ISDH), by combining the standard deviation heuristic (SDH) with the procedure of effective double-job-insert-operator. Then, a composite heuristic, improved standard deviation heuristic with iteration (ISDHI), is proposed using the iteration operator to improve the solutions of the ISDH. Extensive computational experiments are carried out based on a set of well-known flow shop benchmark instances that are considered as no-wait flow shop scheduling instances. Computational results and comparisons show that the ISDHI performs significantly better than the existing ones, and the ISDHI heuristic further improves the proposed constructive heuristics for no-wait flow shop scheduling problem with total flow time criterion.
Keywords
computational complexity; flow shop scheduling; iterative methods; ISDH; ISDHI; NP-hard problem; composite heuristic; double-job-insert-operator; flow shop benchmark; improved standard deviation heuristic; improved standard deviation heuristic-with-iteration; no-wait flow shop scheduling problem; total flow time criterion; Delay; Educational institutions; Job shop scheduling; Processor scheduling; Standards; Synchronous digital hierarchy; Constructive heuristic; Flow shop; No-wait; Total flow time; composite heuristic;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4673-1510-4
Electronic_ISBN
978-1-4673-1508-1
Type
conf
DOI
10.1109/CEC.2012.6252932
Filename
6252932
Link To Document