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An improved tabu search algorithm for the fixed-spectrum frequency-assignment problem

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3 Author(s)
R. Montemanni ; Univ. of Glamorgan, Mid Glamorgan, UK ; J. N. J. Moon ; D. H. Smith

A tabu search algorithm with a dynamic tabu list for the fixed-spectrum frequency-assignment problem is presented. For cellular problems, the algorithm can be combined with an efficient cell reoptimization step. The algorithm is tested on several sets of test problems and compared with existing algorithms of established performance. In particular, it is used to improve some of the best existing assignments for COST 259 benchmarks. These results add support to the claim that the algorithm is the most effective available, at least when solution quality is a more important criterion than solution speed. The algorithm is robust and easy to tune.

Published in:

IEEE Transactions on Vehicular Technology  (Volume:52 ,  Issue: 4 )