title: A synergetic combination of small and large neighborhood schemes in developing an effective procedure for solving the job shop scheduling problem.
abstract: 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.
authors.affiliation: SISAT, Faculty of Engineering and Information Sciences, University of Wollongong, Building 39, Wollongong, NSW 2522 Australia.
authors.forename: Mehrdad
authors.initials: M
authors.lastname: Amirghasemi
authors.affiliation: SISAT, Faculty of Engineering and Information Sciences, University of Wollongong, Building 39, Wollongong, NSW 2522 Australia.
authors.forename: Reza
authors.initials: R
authors.lastname: Zamani
keywords: Forward-backward mechanisms; Job shop scheduling; Local search; Shifting bottleneck