Logistics node facility layout optimization method based on computer vision

Abstract

The invention discloses a logistics node facility layout optimization method based on computer vision. The method comprises the following steps: introducing Multi-Agent technique and CA (cellular automata) simulation technique to construct a geographical simulation system based on computer vision technique; representing plot terrain and constraint conditions of logistics facility by computer graphics; constructing a three-layered Multi-Agent model with optimized logistics node facility layout; generating an initial solution based on the advantage of a construction algorithm on creating an initial scheme; and combining a genetic algorithm and simulated annealing algorithm to provide a logistics node facility layout optimization algorithm by adopting the idea of an improved algorithm. The method provided by the invention can achieve optimization of multi-constraint large-scale logistics node facility layout under complex topographic conditions, and can be widely used in the fields of urban planning, transportation, large-scale integrated circuit design, architectural design, machinery manufacturing, aerospace, and so on.

Description

technical field [0001] The invention belongs to the technical field of computer-aided design, and specifically relates to the layout optimization of logistics node facilities, specifically a method of using computer software to plan the layout of internal facilities of logistics nodes to solve the multi-constraint large-scale logistics node facility layout optimization under complex terrain conditions. Background technique [0002] Layout problems widely exist in transportation, large-scale integrated circuit design, architectural design, machinery manufacturing, aerospace and other fields, and are highly complex. Logistics node layout problems include regular functional area layout and irregular functional area layout. Most of the existing research on layout problems is limited to rectangular areas, but in practice, irregular functional areas are more common, and layout problems are far more complicated than regular functional areas. The existing research methods are to tra...

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Problems solved by technology

[0022] The technical problem to be solved by the present invention is to learn from the traditional facility layout optimization method, comprehensively consider the geometric shape of the functional area, the maximum area utilization rate and the minimum material handling cost, and introduce computer vision technology and graphics technology to solve the difficulty in expressing the spatial relationship of logistics nodes to realize the comprehensive optimization of logistics node facility layout

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