多类型物流配送优化策略研究

Research on Optimized Strategies for Logistics Distribution of Multiple Types Goods Basedon Adaptive Genetic Algorithm

研究多类型物流配送优化问题。物流中货物的配装以及送货的线路优化是物流配送的核心难点问题。对目前常见的物流配送过程中优化调度算法进行比较,分析了物流配送抽象流程,阐述了半启发式的遗传算法,以求取优化配送效率、降低算法的时间和空间复杂度为目标,建立了多类型物流配送整数线性规划模型,并设计了相关求解算法。将自适应遗传算法的多类型物流配送优化策略应用到实际物流配送过程中进行仿真,处理结果进行科学评价。通过实例的应用,验证了提出算法的可行性和高效性。

This article proposed an improved algorithm with concern of reducing the time and space complexity of the algorithm, to seek optimal effects. A multi-integer linear programming model for logistics distribution was estab-lished with the relevant algorithm designed. The improved optimizing strategies for logistics distribution of multiple types goods based on adaptive genetic algorithm were applied to the real logistics distribution, and the results were scientifically evaluated. Through the practical application, the effectiveness and feasibility of the improved algorithm are shown again.