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基于并行遗传算法的物流中心货位优化研究 被引量:1

The Optimization of Logistics Center Location Based on Parallel Genetic Algorithms
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摘要 随着机械化与信息化的发展,及物流效率要求的提升,物流中心货位指派科学化已显得非常迫切。该论文从基础货位指派原则着手,从以货位优化提升后续作业效率出发,将其量化拟合为多目标货位指派模型,并设计并行遗传算法对模型进行求解,求解结果比较理想,为货位的动态指派奠定基础。 With the development of mechanization and informatization,and the more efficient demands of Logistics,it is unquestionably urgent that the more scientific method of location assigned must be.In this paper,A multi-objective assignment model is be established,which is based on the basic principle of location assigned,for promoting efficiency of subsequent operations.And then,the model is solved by using the Parallel Genetic Algorithms,and has an ideal result.In a word,this research lays a foundation for dynamic assignment of Logistics Center location.
出处 《内蒙古工业大学学报(自然科学版)》 2015年第3期230-236,共7页 Journal of Inner Mongolia University of Technology:Natural Science Edition
基金 内蒙古工业大学校基金(SK201320)
关键词 货位动态指派 多目标规划 并行遗传算法 Dynamic Assignment A Multi-Objective Assignment Model Parallel Genetic Algorithms
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