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

Peter Csaszar (), Thomas Tirpak () and Peter Nelson

Annals of Operations Research, 2000, vol. 96, issue 1, 125-147

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. Copyright Kluwer Academic Publishers 2000

Keywords: combinatorial optimization; tabu search; manufacturing optimization; placement machines (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1023/A:1018911821102

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