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基于多目标优化的糖厂运输车调度

张智刚 何维胜 张闻宇 殷珍 吴潇 刘杰

农业机械学报2026,Vol.57Issue(12):111-120,10.
农业机械学报2026,Vol.57Issue(12):111-120,10.DOI:10.6041/j.issn.1000-1298.2026.12.010

基于多目标优化的糖厂运输车调度

Multi-objective Optimization Approach to Transportation Vehicle Scheduling in Sugar Mill

张智刚 1何维胜 2张闻宇 1殷珍 2吴潇 3刘杰3

作者信息

  • 1. 华南农业大学南方农业机械与装备关键技术教育部重点实验室,广州 510642||农业装备技术全国重点实验室,北京 100083
  • 2. 华南农业大学南方农业机械与装备关键技术教育部重点实验室,广州 510642||岭南现代农业科学与技术广东省实验室,广州 510642
  • 3. 华南农业大学南方农业机械与装备关键技术教育部重点实验室,广州 510642||广东省农业人工智能重点实验室,广州 510642
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摘要

Abstract

Sugar mills serve as the core hub of the sugarcane industry chain.Their efficient operation is crucial for ensuring smooth transportation and stable supply of sugarcane from fields to mills,as well as achieving efficient raw material processing.Addressing common issues during the crushing season such as vehicle queuing and uneven driver income,the actual scheduling process was abstracted into a multi-trip vehicle routing problem with unloading queue(MTVRP-UQ).Building upon this,a multi-objective optimization model was constructed to minimize both vehicle queueing wait times and income disparities among drivers by optimizing transport order allocation.To effectively solve this model,a multi-strategy enhanced multi-objective genetic algorithm(MS-MOGA)was proposed.Dynamic crossover and mutation rates based on the Sigmoid function enhanced search stability;integrated large neighborhood search as a local reinforcement operator to enhance solution quality;and adopted an adaptive mutation strategy based on generation distance to prevent premature convergence.Using the Nanhua Sugar Factory in Chongzuo,Guangxi,and its surrounding raw material supply points as a case study,actual road network information was extracted from AutoNavi Maps.Simulation experiments conducted on the real geographic dataset demonstrated that compared with the standard multi-objective genetic algorithm,MS-MOGA reduced waiting time and income disparity by 5.29%and 35.09%,respectively,across two core metrics.It also exhibited superior overall performance relative to other multi-objective optimization algorithms,offering a more efficient and equitable choice for sugar mill transportation scheduling during the crushing season.

关键词

糖厂运输车/多目标优化/订单分配/遗传算法/运输调度

Key words

sugar mill transport vehicles/multi-objective optimization/order allocation/genetic algorithm/transportation scheduling

分类

农业科技

引用本文复制引用

张智刚,何维胜,张闻宇,殷珍,吴潇,刘杰..基于多目标优化的糖厂运输车调度[J].农业机械学报,2026,57(12):111-120,10.

基金项目

国家糖料产业技术体系项目(CARS-17) (CARS-17)

农业机械学报

1000-1298

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