Scatter search with path relinking for the flexible job shop scheduling problem

Miguel A. González, Camino R. Vela and Ramiro Varela

European Journal of Operational Research, 2015, vol. 245, issue 1, 35-45

Abstract: The flexible job shop scheduling is a challenging problem due to its high complexity and the huge number of applications it has in real production environments. In this paper, we propose effective neighborhood structures for this problem, including feasibility and non improving conditions, as well as procedures for fast estimation of the neighbors quality. These neighborhoods are embedded into a scatter search algorithm which uses tabu search and path relinking in its core. To develop these metaheuristics we define a novel dissimilarity measure, which deals with flexibility. We conducted an experimental study to analyze the proposed algorithm and to compare it with the state of the art on standard benchmarks. In this study, our algorithm compared favorably to other methods and established new upper bounds for a number of instances.

Keywords: Scheduling; Flexible job shop; Scatter search; Path relinking; Neighborhood structures (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:245:y:2015:i:1:p:35-45

DOI: 10.1016/j.ejor.2015.02.052

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