现代制造工程Issue(12)：22-28,147,8.DOI:10.16731/j.cnki.1671-3133.2023.12.004
自动化钢板料库桥吊作业路径优化研究
Research on route optimization of bridge crane in automated steel plate storage warehouse
摘要
Abstract
Aiming at the optimization scheduling problem of bridge crane in automatic warehouse with steel plate as storage ob-ject,the overall layout of the warehouse and the operation principle of bridge crane out/in storage were analyzed,and the bridge crane operation mode based on the random combination of single operation and compound operation was proposed.The scheduling optimization model of bridge crane was established based on the total time of completing a batch of out/in storage tasks as evalua-tion criteria.By integrating the Genetic Algorithm(GA)and the Simulated Annealing(SA)algorithm,and embedding the shuff-ling stacking decision inner algorithm,a Phased Simulated Annealing Genetic Algorithm(PSAGA)was designed to solve the problem,optimize the steel plate out/in storage sequence and the optimal operation path of the bridge crane.Finally,it is proved that compared with the traditional genetic algorithm,PSAGA has better convergence and robustness,and it is not easy to fall into the local optimal.It can effectively meet the needs of the bridge crane path planning problem,and improve the steel plate out/in storage efficiency.关键词
钢板料库/桥式起重机/路径优化/遗传算法/模拟退火算法Key words
steel plate storage warehouse/bridge crane/path optimization/genetic algorithm/simulated annealing algorithm分类
信息技术与安全科学引用本文复制引用
钟传捷,程文明,杜润..自动化钢板料库桥吊作业路径优化研究[J].现代制造工程,2023,(12):22-28,147,8.基金项目
中车十四五科技重大专项科研课题项目(2021CHZ010-3) （2021CHZ010-3）
四川省重点研发项目(2022YFG0241,2022YFG0245) （2022YFG0241,2022YFG0245）
