Two-layer genetic integer programming-based complex system DSM (Design Structure Matrix) reconstructing method

A technology for designing structure matrix and integer programming, applied in complex mathematical operations, genetic models, etc., can solve problems such as low design efficiency and lack of reliability

Active Publication Date: 2016-05-04
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] The purpose of the present invention is to solve the problem that before the reconstruction of the design structure matrix, it is usually necessary to rely on manual experience to determine the number of clusters, so that the reconstruction process lacks reliability and the design efficiency is low. A method based on two-layer genetic integer programming is proposed The complex system design structure matrix reconstruction method, through a dual-segment chromosome coding technology (Dual Chromosome Coding, DCC), realizes the simultaneous coding of element sequences and clustering schemes in DSM, and uses a layered optimization method to undergo two-layer reconstruction , to get the final DSM reconstruction result

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
  • Two-layer genetic integer programming-based complex system DSM (Design Structure Matrix) reconstructing method
  • Two-layer genetic integer programming-based complex system DSM (Design Structure Matrix) reconstructing method
  • Two-layer genetic integer programming-based complex system DSM (Design Structure Matrix) reconstructing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0090] The present invention proposes a complex system design structure matrix reconstruction method based on two-level genetic integer programming, which can automatically find the optimal clustering scheme in the optimization iteration process, and can be used when dealing with design structure matrices involving many disciplines Significantly reduce the human operation in the optimization process, improve the overall design efficiency, shorten the design cycle, and reduce the design cost.

[0091] In order to better illustrate the purpose and advantages of the present invention, the design matrix reconstruction calculation example in the citation is used as a design example below, and the present invention is further described in conjunction with the drawings and tables, and the comprehensive performance of the present invention is verified and analyzed.

[0092] Taking the subject data relationship DSM reconstruction of a complex engineering system (involving 17 subjects) a...

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 relates to a two-layer genetic integer programming-based complex system DSM (Design Structure Matrix) reconstructing method which can be applied to the industrial fields of aerospace, cars, ships and the like. According to the method, the simultaneous optimization of the element sequence and the clustering scheme in a DSM is realized by adopting a double-segment chromosome coding technique; and layered solving is carried out on a DSM clustering problem by adopting an integer genetic programming algorithm so as to obtain a reconstructed optimal DSM. The method comprises the following steps of firstly building an optimization model through taking DSM-based contact information flow as output and carrying out two-layer optimization on the model; obtaining a preliminary DSM clustering scheme by adopting a genetic integer programming method in the first-layer reconstruction; and carrying out a second search on each cluster in the preliminary scheme by adopting the same algorithm in the second-layer reconstruction so as to obtain a final DSM reconstruction result. Therefore, the method has the advantages of simplifying the design process, shortening the development time and increasing the resource utilization rate.

Description

technical field [0001] The invention relates to a complex system design structure matrix reconstruction method based on two-layer genetic integer programming, which can be applied to multiple industrial fields such as aerospace and automobiles. Background technique [0002] The Design Structure Matrix (DSM) was first proposed by the American scholar Steward, and it is a matrix tool for planning and analyzing the product development process. DSM is an information interaction model that represents complex tasks or team relationships, such as complex systems or complex product design processes involving multiple disciplines. Through this model, a reasonable task sequence or grouping can be determined to improve the work efficiency of the entire system. In DSM, the diagonal units of the matrix are used to represent the various tasks in the process, usually representing various disciplines in the complex system or various links in the product design process; the off-diagonal unit...

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): G06N3/12G06F17/16
CPCG06F17/16G06N3/12
Inventor 刘莉袁斌龙腾史人赫
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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
Try Eureka
PatSnap group products