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An Efficient Heuristic Algorithm for the Traveling Salesman Problem

机译:旅行商问题的一种有效启发式算法

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This paper presents a new heuristic algorithm based on combining branch and bound algorithm and a dynamic simulation model for the traveling salesman problem. The approach uses the simulation results for creating the best tours within the branch and bound tree. The most advantage of this approach lies in the learning profcedure both in simulation process and B&B algorithm. In order to test the efficiency of the proposed algorithm, several computational experiments were conducted over middle-scale and large-scale problems. As the computational results show the algorithm can be used easily in practice with reasonable accuracy and speed.
机译:提出了一种结合分支定界算法的启发式算法和旅行商问题的动态仿真模型。该方法使用模拟结果在分支树和绑定树中创建最佳游览。这种方法的最大优势在于模拟过程和B&B算法的学习过程。为了测试所提算法的效率,针对中,大型问题进行了多次计算实验。计算结果表明,该算法可在实际中以合理的准确性和速度轻松地使用。

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