A Parallel Approach for Solving a Large-Scale Traveling Salesman Problem
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چکیده
A parallel approach for solving a large-scale Euclidean Traveling Salesman Problem (TSP) is presented. The approach consists of the following stages: partitioning the input data set into clusters, solving the TSP for each cluster to get partial solutions, merging the partial solutions to form a complete solution, and optimizing the complete solution. Lin-Kernighan-Helsgaun (LKH) algorithm is used to solve TSP in each cluster. Rings are used to form a complete solution. Several optimization strategies are presented to improve the quality of the complete solution. The approach minimizes the run time of the overall solution. The quality loss of the solution obtained with this approach is negligible when compared to the best known solutions.
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تاریخ انتشار 2011