A synergetic combination of small and large neighborhood schemes in developing an effective procedure for solving the job shop scheduling problem.

Citation data:

SpringerPlus, ISSN: 2193-1801, Vol: 3, Issue: 1, Page: 193

Publication Year:
2014
Usage 56
Downloads 36
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Citations 4
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Repository URL:
https://ro.uow.edu.au/eispapers/2721
PMID:
24808999
DOI:
10.1186/2193-1801-3-193
PMCID:
PMC4008728; 4008728
Author(s):
Amirghasemi, Mehrdad; Zamani, Reza
Publisher(s):
Springer Nature
Tags:
Multidisciplinary; problem; synergetic; combination; small; large; neighborhood; schemes; developing; effective; procedure; solving; job; shop; Engineering; Science and Technology Studies
article description
This paper presents an effective procedure for solving the job shop problem. Synergistically combining small and large neighborhood schemes, the procedure consists of four components, namely (i) a construction method for generating semi-active schedules by a forward-backward mechanism, (ii) a local search for manipulating a small neighborhood structure guided by a tabu list, (iii) a feedback-based mechanism for perturbing the solutions generated, and (iv) a very large-neighborhood local search guided by a forward-backward shifting bottleneck method. The combination of shifting bottleneck mechanism and tabu list is used as a means of the manipulation of neighborhood structures, and the perturbation mechanism employed diversifies the search. A feedback mechanism, called repeat-check, detects consequent repeats and ignites a perturbation when the total number of consecutive repeats for two identical makespan values reaches a given threshold. The results of extensive computational experiments on the benchmark instances indicate that the combination of these four components is synergetic, in the sense that they collectively make the procedure fast and robust.