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Simulated Annealing has been a very successful general algorithm for the solution of large, complex combinatorial optimization problems. In this paper, we propose a clone operator which imitates the biological cloning process to generate a candidate solution vector for the solution vector in simulated annealing algorithm. The proposed algorithms are tested with various case studies obtained from the literature and the results are presented. The algorithm is capable of getting optima.
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Biju et al. (2017) studied this question.
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