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求解AGV路径优化问题的遗传算法参数优化 被引量:7

Optimization of Parameters of Genetic Algorithm for AGV Path Optimization
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摘要 介绍了基于AGVS的有向图模型求解AGV路径优化问题的遗传并行路径规划算法和有关遗传算子.根据遗传算法的运行流程,首先对AGV路径进行初始路径集生成和确定复制算子;其次用实验的方法对交叉算子和变异算子进行了性能比较,确定AGV路径优化中选用部分交叉算子和反转变异算子;最后研究了种群的大小对遗传算子收敛速度的影响.本文给出了部分遗传算子的实验数据和不同种群规模时的收敛情况.本文工作是研究AGV动态调度遗传算法及其仿真与实验的基础. Based on the directed graph models of Automated Guided Vehicle System (AGVS), an introduction is made on the parallel path planning, the related parameters and operators of genetic algorithm in order to get the optimum path for AGV. According to the running procedures of genetic algorithm, first of all, the generating of initial path sets for AGV paths has been carried out, and the reproduction operator is determined. Second, with the experimental methods, the characteristics of the crossovers and mutations of genetic algorithm are compared with each other, and the part crossover and inversion mutation have been selected in the optimum path for AGV. Finally, the population scales influencing the weakening speed of genetic algorithm are studied. Experimental data of some genetic operators and the converging condition,, of genetic algorithm as different population scales are given. The achievements will be the foundations of studying the dynamic dispatch genetic algorithm and its simulation and experiment for AGV.
出处 《昆明理工大学学报(理工版)》 2006年第4期26-29,38,共5页 Journal of Kunming University of Science and Technology(Natural Science Edition)
基金 云南省自然科学基金(项目编号:2003F0029M)
关键词 AGVS 路径优化 遗传算法 Automated Guided Vehicle System path optimization genetic algorithm
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  • 1ZHAN Yuedong,LUO Ying.Guided and Detecting Technology of Intelligent Robot AGV and New-style AGV[C]// International Conference on Sensors and Control Techniques(IC SC 2000),2000:461 -464.
  • 2ZHAN Yuedong,LUO Ying.The Goods-flowing System AGV Technology of Yuxi Cigarette Factory and the Developmental Research of AGV Nationalization Technology[C]//IEEE International Vehicle Electronics Conference (IVEC'99),1999,425-428.
  • 3Bollobás Bela.Modern Graph Theory[M].Springer-Verlag Press,1998:54-145.
  • 4玄光男 程润伟.遗传算法与工程设计[M].北京:科学出版社,2000..
  • 5Lawrence.Handbook of Genetic Algorithms[M].NY:Van Nostrand Reinhold Press,1991:35 -132.
  • 6胡正兴,李一民,詹跃东.自动导引小车局部智能避障的A^*算法[J].昆明理工大学学报(理工版),2005,30(5):51-53. 被引量:11

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