基于优化的禁忌搜索算法的无人终端配送路径研究
Research on Unmanned Terminal Delivery Path Based on Optimized Tabu Search Algorithm
王楚阳1
作者信息
- 1. 江苏财会职业学院,江苏连云港 222000
- 折叠
摘要
随着无人技术的不断发展,无人终端配送在物流领域的应用逐渐成为研究热点.配送路径优化是无人终端配送系统中的关键问题,目的是在满足特定约束条件的前提下,寻找最优的配送路径,以提高配送效率,降低配送成本.文章针对无人终端配送的路径优化问题,提出一种基于优化的禁忌搜索算法,通过实验验证了算法的有效性,并对实验结果进行分析.
Abstract
With the continuous development of unmanned technology,the application of unmanned terminal delivery in the logistics field has gradually become a research hotspot.Optimization of delivery paths is one of the key issues in unmanned terminal delivery systems.Its purpose is to find the optimal delivery path while meeting specific constraints,in order to improve delivery efficiency and reduce delivery costs.This article proposes an optimized tabu search algorithm for the path optimization problem of unmanned terminal delivery,and verifies its effectiveness through experiments.The experimental results are analyzed.
关键词
无人终端配送/配送路径优化/禁忌搜索算法Key words
unmanned terminal delivery/optimization of delivery routes/tabu search algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据