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Optimization of a high-speed placement machine using tabu search algorithms

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Abstract

Combinatorial optimization represents a wide range of real-life manufacturing optimization problems. Due to the high computational complexity, and the usually high number of variables, the solution of these problems imposes considerable challenges.

This paper presents a tabu search approach to a combinatorial optimization problem, in which the objective is to maximize the production throughput of a high-speed automated placement machine. Tabu search is a modern heuristic technique widely employed to cope with large search spaces, for which classical search methods would not provide satisfactory solutions in a reasonable amount of time. The developed TS strategies are tailored to address the different issues caused by the modular structure of the machine.

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Csaszar, P., Tirpak, T.M. & Nelson, P.C. Optimization of a high-speed placement machine using tabu search algorithms. Annals of Operations Research 96, 125–147 (2000). https://doi.org/10.1023/A:1018911821102

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