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Research on Internal Layout Optimization of Logistics Node under the Conditions of Complex Terrain Based on Computer Vision and Geographical Simulation System

机译:基于计算机视觉和地理仿真系统的复杂地形条件下物流节点内部布局优化研究

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This paper solves the problem of logistics node space relationship beyond expression based on computer vision technology, proposes internal layout optimization mathematical model of logistics node on the basis of overall consideration of function zone geometry shape, the optimal area utilization rate, and the minimum material handling cost, and then designs a highly mixed genetic simulated annealing algorithm based on multiagent to get layout solution. Through contrasting, the result has shown that the model and algorithms put forward in this paper can realize large-scale internal layout optimization of logistics node under the conditions of complex terrain and multiple constraints.
机译:本文基于计算机视觉技术,解决了物流节点空间关系无法表达的问题,在综合考虑功能区几何形状,最佳面积利用率和最小物料搬运量的基础上,提出了物流节点内部布局优化数学模型。成本,然后设计一种基于多智能体的高度混合遗传模拟退火算法,以获得布局解决方案。通过对比,结果表明,本文提出的模型和算法可以在复杂地形和多重约束条件下实现物流节点的大规模内部布局优化。

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