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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

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  • Wei Wang
  • Xuejun Feng

Abstract

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.

Suggested Citation

  • Wei Wang & Xuejun Feng, 2012. "Research on Internal Layout Optimization of Logistics Node under the Conditions of Complex Terrain Based on Computer Vision and Geographical Simulation System," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    • Handle: RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:964291
    DOI: 10.1155/2012/964291
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    References listed on IDEAS

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    1. Robert G. Cromley & Dean M. Hanink, 1999. "Coupling land use allocation models with raster GIS," Journal of Geographical Systems, Springer, vol. 1(2), pages 137-153, July.
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