Iterated tabu search for the circular open dimension problem
Zhanghua Fu,
Wenqi Huang and
Zhipeng Lü
European Journal of Operational Research, 2013, vol. 225, issue 2, 236-243
Abstract:
This paper investigates the circular open dimension problem (CODP), which consists of packing a set of circles of known radii into a strip of fixed width and unlimited length without overlapping. The objective is to minimize the length of the strip. In this paper, CODP is solved by a series of sub-problems, each corresponding to a fixed strip length. For each sub-problem, an iterated tabu search approach, named ITS, is proposed. ITS starts from a randomly generated solution and attempts to gain improvements by a tabu search procedure. After that, if the obtained solution is not feasible, a perturbation operator is subsequently employed to reconstruct the incumbent solution and an acceptance criterion is implemented to determine whether or not accept the perturbed solution. As a supplementary method, the length of the strip is determined in monotonously decreasing way, with the aid of some post-processing techniques. The search terminates and returns the best found solution after the allowed computation time has been elapsed. Computational experiments based on numerous well-known benchmark instances show that ITS produces quite competitive results, with respect to the best known results, while the computational time remains reasonable for each instance.
Keywords: Packing; Cutting; Tabu search; Perturbation operator; Acceptance criterion (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:225:y:2013:i:2:p:236-243
DOI: 10.1016/j.ejor.2012.10.022
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