A simple tabu search for warehouse location
نویسندگان
چکیده
The uncapacitated warehouse location problem (UWLP) is a heavily studied combinatorial optimization problem, which has been tackled by various approaches, such as linear-programming branch and bound, genetic algorithms, and local search. This paper presents an simple, yet robust and efficient, tabu search algorithm for the UWLP. The algorithm was evaluated on the standard OR Library benchmarks and on the M* instances which are very challenging for mathematical programming approaches. The benchmarks include instances of size 2000 × 2000. Despite its conceptual and programming simplicity, the algorithm finds optimal solutions to all benchmarks very quickly and with very high frequencies. It also compares favorably with state-of-the-art genetic algorithms and should be a very valuable addition to the repertoire of tools for uncapacitated warehouse location due its simplicity and effectiveness.
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ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 157 شماره
صفحات -
تاریخ انتشار 2004