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基于遗传粒子群算法的堆垛机作业路径优化
引用本文:刘凯,牛江川,申永军,李素娟.基于遗传粒子群算法的堆垛机作业路径优化[J].石家庄铁道学院学报(社会科学版),2016(2):67-71.
作者姓名:刘凯  牛江川  申永军  李素娟
作者单位:河北大学 文学院
基金项目:河北省教育厅人文指导项目“查慎行‘唐宋互参’诗歌理论研究”(SZ151277)
摘    要:通过查慎行对《瀛奎律髓》中陆游诗歌的评点可以看出,他在章法、用典、字法、句法、对仗等方面对陆游诗歌多有称赏,对陆游学古不化及艺术上的瑕疵亦多有批评,总体上体现出较为客观的批评态度。在查慎行的诗学理论体系中,陆游的地位经历了一个由高到低的过程。查慎行对自己青年时期偶像的批评与颠覆,体现出其晚年诗学理论的转变与成熟。

关 键 词:查慎行  《瀛奎律髓》  陆游  诗歌评点
收稿时间:2016/3/25 0:00:00

Stacker Job Path Optimization Based on Genetic Particle Swarm
Authors:Liu Kai  Niu Jiangchuan  Shen Yongjun and Li Sujuan
Institution:College of Literature, Hebei University
Abstract:The route optimization of the stacker determines the operating efficiency of automatic storage and retrieval system. The mathematical model of stacker job is established, and the route optimization problem of the stacker is investigated by means of Genetic PSO. The algorithm uses genetic algorithm crossover and mutation, by particles and groups with individual extremes crossover and mutation particle itself way to search for the optimal solution. The simulation results show that, the speed and optimization convergence effect of the solving has been significantly improved, the picking operations time has been effectively reduced, and the operating efficiency of automatic storage and retrieval system has been improved, which is of reference value for practical application.
Keywords:Genetic PSO  automated warehouse  picking operations  stacker
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