港口航道与近海工程2025，Vol.62Issue(1)：6-11,6.DOI:10.16403/j.cnki.ggjs20250102
基于混合遗传算法的自动化港口箱位指派研究
Study on Container Slot Allocation in an Automated Terminal Based on Hybrid Genetic Algorithm
摘要
Abstract
With the development of automated and intelligent terminals,the intelligent algorithms are urgently needed to realize the automation and optimization of various tasks.In view of the unbalanced allocation of container slots in automated ports,less effect reached by using the existing algorithm,it was taken into account the arrival and pre-departure time of containers,as well as the pressure caused by the container in-and-out operation,which produced a mathematical model for container slots allocation.A hybrid genetic algorithm applied to the solution to the model,that is,a simulated annealing algorithm was combined with the traditional genetic algorithm to select any offspring efficiently.The process of cross mutation in the genetic algorithm was re-coded,which simplified the process,sped up the algorithm iteration.The model and algorithm above could effectively optimize the slots allocation result and raise the operation efficiency of automated ports.关键词
集装箱码口/箱位指派/混合遗传算法/重编码Key words
container port/container slots allocation/hybrid genetic algorithm/re-coding分类
交通运输引用本文复制引用
罗浩铭,冷松乐,张先燏..基于混合遗传算法的自动化港口箱位指派研究[J].港口航道与近海工程,2025,62(1):6-11,6.基金项目
国家自然科学基金项目(72371160) （72371160）
上海市经信委专项项目(212102) （212102）
大规模个性化定制系统与技术全国重点实验室开放课题(H&C-MPC-2023-03-01 （）
H&C-MPC-2023-03-01(Q)) （Q）
