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A Method for Adaptive Change of Complex Product System Based on Population Evolution

A complex product and self-adaptive technology, applied in the direction of genetic rules, gene models, instruments, etc., to achieve the effect of simple method, easy implementation and high degree of automation

Inactive Publication Date: 2018-10-26
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above studies mostly focus on the impact of design changes

Method used

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  • A Method for Adaptive Change of Complex Product System Based on Population Evolution
  • A Method for Adaptive Change of Complex Product System Based on Population Evolution
  • A Method for Adaptive Change of Complex Product System Based on Population Evolution

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Experimental program
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Embodiment

[0042] In order to realize the self-adaptive change of the complex product system, the constituent factors are defined firstly, and the behavioral network model of the complex product system is established. The constituent elements of a complex product ecosystem are divided into product-type elements and environments.

[0043] Environment (Environment, ENV): Environment refers to the sum of everything around a specific individual or product group, including various factors that directly or indirectly affect the survival of the product group.

[0044] For a product ecosystem, the environment refers to the sum of all surrounding non-product elements, including various factors that directly or indirectly affect the survival of product groups. The environment provides material and energy for the product elements.

[0045] The environment is specific to a particular object and changes over time. So the environment is expressed as:

[0046] ENV={object,t,n,CPN-E},

[0047]

...

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Abstract

The invention relates to a population evolution-based complex product system adaptive change method. The method includes the following steps that: (1) the behavior network model of a complex product system is built, when the design requirements of the complex product system are changed, individuals to be changed in the complex product system are determined; (2) a genetic algorithm is adopted to adaptively change the individuals to be changed; (3) after the individuals to be changed are adaptively changed, changed individuals can be formed, the behavior network model in the step (1) is traversed, individuals which are correlated with the changed individuals are determined; and (4) whether the individuals in the step (3) which are correlated with the changed individuals exist is judged, if the individuals in the step (3) which are correlated with the changed individuals exist, the individuals which are correlated with the changed individuals are determined as individuals to be changed, and the method returns to the step (2), otherwise, the adaptive change of the complex product system is terminated. Compared with the prior art, the adaptive change method of the invention has the advantages of simplicity, easiness in realization, high automation degree and reliable result.

Description

technical field [0001] The invention relates to a method for modifying a complex product system, in particular to a method for adaptively modifying a complex product system based on population evolution. Background technique [0002] A complex product refers to a product with high R&D costs, large scale, high technical content, involving multi-disciplinary technical knowledge, and requiring a lot of resources for manufacturing and assembly. In actual work, not all complex products are designed from scratch. Meyer et al. found that about 70% of product designs can be classified as adaptive design, that is, product design changes. To mitigate the impact of design changes, Vito Latora introduced the concept of effective behavior in a small world to explain design changes, and Yongsheng Ma used functional modeling to implement a change propagation algorithm. In China, Professor Gao Qi mainly studied the impact of design changes in engineering. Professor Zhang Shuyou proposed to...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/12G06N3/00
CPCG06N3/006G06N3/126
Inventor 郝泳涛葛唱
Owner TONGJI UNIV
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