环形轨道弯道分流下车辆负载均衡与遗传算法的协同任务分配优化研究

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中图分类号：F274；TP18 文献标志码：A DOI： 10.13714/j.cnki.1002-3100.2026.04.003

Study on Collaborative Task Alocation Optimization of Vehicle Load Balancing and Genetic Algorithm Under Curve Diversion of Circular Track

，1O Zhihong， ZHANGGuohua （School of Economics and Management， Hunan Universityof Technology， Zhuzhou 4

Abstract：Toadresteproblemsofcongestionandecesivetimeconsumptoninciclartracksystmscausedbyunevenvecletask allocationandsinglemainlooppath，thispaper akesthecircularshutlesystemdesignofalogistis techologyompanyasapractical caseandpoposesathrlevelcollborativschemeconsistingof"structuralmodelingandonstrantdefiiioveicleloadbalancing strategy-geneticalgorithm（GA）glbaloptimization".First，asinglecurveisaddedtotheexistingcirculartracktoconstructa"main loop-curve"dualpathtopologymodel，andquantifthepathcaracteristicsandecsiityostraintsSecond，arealtieooing anddynamicadjustmentmechanismisdesignedtoachievevehicleloadbalancing.Furthermore，thegeneticalgorithisintroducedto optimize"taskeiclealocaidpatheiodessfuioisostruedithttotaltaskopleiotistio time，and vehicltaskbalanceasbjectives.Experimentsshowthatcompared withthetradionalscheme，the proposedschemerduces the total task completion time by 44% and the congestion time by 59.9% ， effectively improving system efficiency and providing technical support for the structural optimization and task allocation of circular track systems.

Key words： circular track; curve diversion; vehicle load balancing; genetic algorithm （GA）; task alocation

1研究综述

1.1研究背景

在电商仓储中，环形轨道穿梭车凭借“沿固定轨道闭环运行”的特性成为了高效转运的核心设备。（剩余5145字）