Abstract
In this paper, an algorithm for cluster generation using tabu search approach with simulated annealing is proposed. The main idea of this algorithm is to use the tabu search approach to generate non-local moves for the clusters and apply the simulated annealing technique to select suitable current best solution so that speed the cluster generation. Experimental results demonstrate the proposed tabu search approach with simulated annealing algorithm for cluster generation is superior to the tabu search approach with Generalised
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