求解多仓库流程生产物流运输调度问题的改进和声搜索算法

An Improved and Harmony Search Algorithm for Solving Multi-Warehouse Process Production Logistics Transportation Scheduling Problem

针对多仓库问题,首先使用聚类分析将多仓库问题转换为多个单仓库问题,并将人工鱼群算法的觅食行为引入和声搜索算法,同时采用自适应策略动态调整和声搜索算法的音调微调概率和音调微调带宽。仿真结果表明:相对于基本和声搜索算法及其他三种常见启发式算法,所设计的算法具有更好的收敛速度和收敛精度。

Aiming at the problem of logistics transportation scheduling in multi-warehouse process production,the paper designed a harmony search algorithm based on the foraging behavior of artificial fish swarm algorithm.For the multi-warehouse problem,the clustering analysis is firstly used to transform the multi-warehouse problem into multiple single-warehouse problems,and the foraging behavior of the artificial fish swarm algorithm is introduced into the harmony search algorithm,and the adaptive strategy is used to dynamically adjust the acoustic search algorithm.Tone fine-tuning probability and pitch fine-tuning bandwidth.The simulation results show that,compared with the basic harmony search algorithm and three other common heuristic algorithms,the designed algorithm has better convergence speed and convergence precision.