Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Construction site plane arrangement method based on random strategy and multi-objective optimization algorithm

A multi-objective optimization and construction site technology, applied in multi-objective optimization, stochastic CAD, geometric CAD, etc., can solve the problems of easy loss of layout strategy and weak global optimality, and achieve operability and improve functional requirements. , the effect of strong scalability

Inactive Publication Date: 2020-05-22
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects that the existing layout strategy is easy to lose solution and the global optimality is weak, the present invention provides a construction site layout method based on random strategy and multi-objective optimization algorithm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Construction site plane arrangement method based on random strategy and multi-objective optimization algorithm
  • Construction site plane arrangement method based on random strategy and multi-objective optimization algorithm
  • Construction site plane arrangement method based on random strategy and multi-objective optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the purpose, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0037] Please refer to figure 1 , an embodiment of the present invention provides a construction site layout method based on a random strategy and a multi-objective optimization algorithm, including the initial stage of site layout using a random strategy and the optimization stage of improvement using a multi-objective optimization algorithm, wherein:

[0038] The specific process of the initial stage is:

[0039] 101. Grid the plane area of ​​the entire construction site to form several square areas of the same size, and establish a two-dimensional coordinate system of the construction site based on the square areas; preferably, the square areas described in this embodiment The size is 1×1m.

[0040] 102. Model the facilities to be arranged into a re...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a construction site plane arrangement method based on a random strategy and a multi-objective optimization algorithm. The method comprises the following steps: taking the position coordinates of the upper left vertex of a rectangle corresponding to a to-be-arranged facility as a decision variable, carrying out random strategy arrangement, and carrying out anti-overlapping constraint on a randomly generated arrangement scheme to form an initial population of the multi-objective optimization algorithm; allowing the randomly generated arrangement position coordinates of facilities to participate in iterative operation of the multi-objective optimization algorithm in a real number encoding form as genes on chromosome loci, and carrying out self-adaptive algorithm improvement on crossover and mutation operation to finally obtain an optimal construction site arrangement scheme. The defects that a conventional construction site arrangement strategy is liable to lose a solution and a local optimal solution are overcome, and the global optimization characteristics of an intelligent algorithm are fully realized; and a plurality of engineering actual requirements are started from, the final site arrangement scheme does not singly meet the requirement of one aspect any more, and various functional requirements of the site arrangement scheme are improved on the whole.

Description

technical field [0001] The present invention relates, in particular, to a construction site layout method based on a random strategy and a multi-objective optimization algorithm. Background technique [0002] At present, the intelligent construction site layout method is mainly to establish the target model of the site layout, with the help of the intelligent optimization characteristics of existing intelligent algorithms, such as genetic algorithm, ant colony algorithm, particle swarm algorithm, etc., to finally meet the requirements The optimal site layout plan for the target; before the algorithm is used in this type of method, the layout mode of the facilities in the site needs to be determined first, and then the algorithm performs intelligent planning of the facilities to be arranged according to the layout mode. The existing layout mode of the facilities in the venue mainly adopts the layout strategy of automatic line wrapping, that is, first number the facilities to ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/13G06F30/18G06F111/06G06F111/08
Inventor 何华刚张雨果陈再励赵楚楠吕山可
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products