A Simulated Annealing PolyClonal Selection Algorithm and Its Application to Traveling Salesman Problems
نویسندگان
چکیده
− In this paper, we propose a Simulated Annealing PolyClonal Selection Algorithm (SAPCSA) for Traveling Salesman Problems (TSP). By introducing a simulated annealing (SA) strategy to the PolyClonal Selection Algorithm (PCSA), the SAPCSA integrate the characteristics of both SA and PCSA. Numerous instances have been simulated to verify the proposed algorithm.
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