基于改进遗传算法的多类型物流配送调度算法

摘要

针对现代物流配送调度过程的优化问题，提出了基于改进遗传算法的多类型物流配送调度算法。通过对物流配送过程中的车辆调度与路径选择等问题进行分析，建立多类型的物流配送调度数学模型，在此基础上构建改进后的遗传算法，从而优化调度模型的算法效率、减少计算时间与算法复杂程度，以求更加高效的获取调度问题的最优解。通过仿真实验，验证了基于改进遗传算法的多类型物流配送调度算法的有效性与先进性。%In this paper, through analyzing vehicle dispatching and route selection in the logistics process, we established the mathematic model for dispatching heterogeneous logistics distribution based on the improved genetic algorithm to obtain the optimal solution of the dispatching problem. At the end, through a simulation experiment, we proved the validity and superiority of the model in dealing with this type of problems.