Abstract
The two-dimensional irregular cutting problem consists of cutting figures of various shapes from a rectangular area to minimize the area required. We adapt the tabu search metaheuristic to the problem, defining a specific neighborhood and various types of moves and search strategies. A standard type of tabu search, with simple and combined evaluating functions as well as a probabilistic tabu search variants are considered. In the paper, the behavior of different probabilistic approaches and the advantage of a newly proposed random candidate list version over a simple ranking approach are demonstrated. An exact algorithm for finding a placement of the polygon has been used in order to enhance the quality of solutions. Preview of wide range of experiments performed gives an idea about the efficiency of different approaches proposed.
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Btażewicz, J., Salvador, A.M., Walkowiak, R. (2002). Tabu Search for Two-Dimensional Irregular Cutting. In: Essays and Surveys in Metaheuristics. Operations Research/Computer Science Interfaces Series, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1507-4_5
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DOI: https://doi.org/10.1007/978-1-4615-1507-4_5
Publisher Name: Springer, Boston, MA
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