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

Wei Wang | Zendy; Xuejun Feng | Zendy

Open Access

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

Author(s) -

Wei Wang,

Xuejun Feng

Publication year - 2012

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2012/964291

Subject(s) - simulated annealing , terrain , node (physics) , genetic algorithm , computer science , mathematical optimization , scale (ratio) , function (biology) , algorithm , mathematics , engineering , ecology , physics , structural engineering , quantum mechanics , evolutionary biology , biology

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. © 2012 Wei Wang and Xuejun Feng.

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