Modular process recombination method based on improved genetic algorithm

An improved genetic algorithm, modular technology, applied in the field of industrial big data analysis, to achieve the effect of improving productivity, shortening process decision-making time, and improving quantity

Inactive Publication Date: 2019-11-22
HENAN UNIV OF SCI & TECH
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Problems solved by technology

[0004] The technical problem mainly solved by the present invention is that in the industrial big data environment, there is no set of fixed methods and steps to follow in the expert experience method, which is very tentative and arbitrary, and there is no ge

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  • Modular process recombination method based on improved genetic algorithm
  • Modular process recombination method based on improved genetic algorithm
  • Modular process recombination method based on improved genetic algorithm

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[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are the Some embodiments of the invention are not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] The invention is a modular process reorganization method based on the improved genetic algorithm. Based on the process model library, aiming at the planning of the whole-process processing route of the irreversible modular process library, the mathematical model of the product multi-process route planning problem is first established, and the product attribute ...

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Abstract

The invention provides a modular process recombination method based on an improved genetic algorithm. According to the invention, a product demand value module process recombination set containing a plurality of process routes can be obtained through calculation. The method has creative breakthrough. The method comprises the following steps: randomly generating an initial population with a certainscale; and then combining an immune genetic algorithm and an elite retention strategy, and replacing the individual with the worst fitness in the randomly generated initial population with an elite antibody, so that the diversity of the initial population can be ensured, the number of later populations can be improved, and excellent individuals are replaced and guide the population to evolve in the genetic process to quickly approach a target value. By adopting the method to carry out modular process generation, a plurality of process recombination sets with high satisfaction can be obtained,the process decision time is shortened, and the productivity is improved.

Description

technical field [0001] The invention relates to the field of industrial big data analysis, in particular to a modular process reorganization method based on an improved genetic algorithm. Background technique [0002] The main realization method of mass customization is modular product configuration. Modular process recombination is to establish a model of process modules and combine them into a complete process through the mutual constraints between process modules and their attributes, so as to avoid invalid process combinations and improve the efficiency of product process matching. The matching method of modular processing conforms to the concept of mass customization. The process matching process is to meet the product demand as the starting point, and the matching result is closely related to the product attributes. On the other hand, through the existing historical processing technology and experience in the example library, and through the matching algorithm, the i...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06N3/12
CPCG06Q10/0633G06Q50/04G06N3/126Y02P90/30
Inventor 范波张启启宋克兴霍华皇涛
Owner HENAN UNIV OF SCI & TECH
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