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基于猫群算法的立体车库调度优化 被引量:1

Optimization of Three-dimensional Garage Scheduling Based on Cat Swarm Algorithm
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摘要 猫群算法是一种新近提出的群体智能算法,其算法的收敛速度快,简单易理解,可以普遍应用于函数优化问题,具有广阔的应用前景。立体车库堆垛机的运行属于典型的TSP问题,猫群算法可以很好地解决此类问题,将其应用到立体车库的调度优化中,通过仿真验证猫群算法的有效性与可行性。 Cat swarm algorithm is a newly proposed group intelligence algorithm, the algorithm has the characteristics of fast convergence rate , easy to understand, it can be generally applied to function optimization problems, and the algorithm has broad application prospects. The operation of the three-dimensional garage stacker is a typical TSP problem. The cat population algorithm can solve such problems well and it can be applied to the scheduling optimization of the three-dimensional garage. The validity and feasibility of the cat swarm algorithm were verified through simulation.
作者 关榆君 和淼 GUAN Yu-jun;HE Miao(Department of Information Engineering,Tangshan College,Tangshan Hebei 063000,China;College of Electrical Engineering,North China University of Science and Technology,Tangshan Hebei 063210,China)
出处 《华北理工大学学报(自然科学版)》 CAS 2018年第4期94-99,共6页 Journal of North China University of Science and Technology:Natural Science Edition
关键词 猫群算法 TSP问题 立体车库 调度优化 cat swarm algorithm TSP problem Three-dimensional garage scheduling optimization
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