基于改进蚁群算法的4PL路径优化问题研究

4PL Path Optimization Based on Improved Ant Colony Algorithm

路径优化问题是第四方物流成败的关键因素之一,笔者尝试使用蚁群算法来解决第四方物流的路径问题。首先选择了适用于4PL的离散域蚁群算法,在分析4PL问题的基础上,创建了其数学模型,并利用实例进行了验证。实验表明,选择合适的参数能较为高效、可靠地解决4PL的路径优化问题。

Path optimization is one of the key factors for the success of the fourth party logistics. This paper attempts to use the ant colony algorithm to solve the path selection problem of 4PL by proposing the discrete domain ant colony algorithm first and then creating a mathematical model based on the analysis of the problem of 4PL and finally verifying it through experiments. Experiments show that the problem could be solved successfully by optimizing the parameters.