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基于MTSOA求解物流分拣搬运系统协同优化问题

吴佳兴 田华亭 曾庆涛 崔海 陶翼飞

现代制造工程Issue(4):16-28,69,14.
现代制造工程Issue(4):16-28,69,14.DOI:10.16731/j.cnki.1671-3133.2026.04.003

基于MTSOA求解物流分拣搬运系统协同优化问题

Solving the collaborative optimization problem of logistics sorting and handling system based on the MTSOA

吴佳兴 1田华亭 2曾庆涛 3崔海 3陶翼飞1

作者信息

  • 1. 昆明理工大学机电工程学院,昆明 650550
  • 2. 云南昆船智能装备有限公司,昆明 650217
  • 3. 云南昆船设计研究院有限公司,昆明 650051
  • 折叠

摘要

Abstract

Regarding the collaborative optimization issue of task allocation at the sorting stations and path planning of AGVs in the logistics sorting and handling system,a problem model is established by taking the completion of sorting tasks and the response time of AGV tasks as the optimization objectives,a multi-objective two-level simulation optimization algorithm is designed for so-lution.The outer layer of this algorithm is the sorting station task allocation layer,and the inner layer is the AGV path planning layer.The sorting task allocation scheme obtained in the outer layer is regarded as the precondition for the operation of the inner layer for AGV path planning simulation.Based on the returned simulation results,the outer layer is optimized to achieve iterative optimization of the algorithm.At the outer layer of the algorithm,a multi-objective whale optimization algorithm is proposed.Ac-cording to the problem characteristics,the whale optimization algorithm is discretely improved by introducing crossover and muta-tion,and a local search operator is constructed to enhance the local search ability of the algorithm.At the inner layer of the algo-rithm,an improved A* algorithm is proposed.On the basis of the A*algorithm,path load is introduced,and a cooling mecha-nism is adopted to achieve iterative update of the path load.Collaborative optimization is realized based on the correlated feedback between the inner and outer layers of the algorithm.Finally,the effectiveness and superiority of the proposed algorithm are veri-fied through simulation experiments.

关键词

物流分拣搬运系统/任务分配/路径规划/多目标鲸鱼优化算法/改进A*算法/多目标双层仿真优化算法

Key words

logistics sorting and handling system/task allocation/path planning/multi-objective whale algorithm/improved A* al-gorithm/multi-objective two-level simulation optimization algorithm

分类

信息技术与安全科学

引用本文复制引用

吴佳兴,田华亭,曾庆涛,崔海,陶翼飞..基于MTSOA求解物流分拣搬运系统协同优化问题[J].现代制造工程,2026,(4):16-28,69,14.

基金项目

国家自然科学基金资助项目(51165014) (51165014)

现代制造工程

1671-3133

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