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

Global optimization method based on strategy adaptability differential evolution

A technology of differential evolution and global optimization, applied in genetic models, genetic laws, data processing applications, etc., to achieve the effect of smooth transition

Inactive Publication Date: 2016-06-15
ZHEJIANG UNIV OF TECH
View PDF0 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Therefore, the existing global optimization method based on differential evolution algorithm has defects in strategy selection and needs to be improved.

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
  • Global optimization method based on strategy adaptability differential evolution
  • Global optimization method based on strategy adaptability differential evolution
  • Global optimization method based on strategy adaptability differential evolution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] refer to figure 1 and figure 2 , a global optimization method based on policy adaptive differential evolution, including the following steps:

[0044] 1) Initialization: set the population size N P , the initial crossover probability C R , the initial gain constant F;

[0045] 2) Randomly generate the initial population P={x 1,g ,x 2,g ,...,x Np,g}, and calculate the objective function value of each individual, where g is the evolution algebra, x i,g ,i=1,2,...,Np represents the i-th individual in the g-th generation population, if g=0, it represents the initial population;

[0046] 3) According to each individual x i,g The objective function value f(x i,g ) Sort each individual in descending order, and record the rank F of each individual i,g , and find the optimal individual x in the current population best,g , where F i,g Indicates the ranking ...

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

A global optimization method based on strategy adaptive differential evolution. First, calculate the distance between each individual in the population and the optimal individual in the current population, and rank the entire population according to the distance and objective function value; then, according to The average error value of distance ranking and objective function value ranking judges the distribution of individuals in the current population, and then judges the state of the algorithm search, that is, global detection and local search, and sets multiple different mutation strategies for each search state; Finally, for each individual in the population, a mutation strategy is randomly selected from its corresponding state strategy pool to generate a new individual, so as to achieve the effect of balancing the algorithm's global detection ability and local enhancement ability. The invention effectively avoids improper strategy selection from affecting the performance of the algorithm and improves the optimization performance.

Description

technical field [0001] The invention relates to the field of intelligent optimization and computer application, in particular to a global optimization method based on strategy adaptive differential evolution. Background technique [0002] Some global optimization problems are often encountered in the fields of economy, science and engineering. In global optimization, the algorithm needs to find a global optimal solution from many local optimal solutions. However, the biggest problem for these global optimization algorithms is It may fall into a local optimum and cannot obtain a global optimum solution. With the increasing complexity of engineering optimization problems, the behavior of the objective function of the optimization problem is also becoming more and more complex, usually discontinuous, non-differentiable, highly nonlinear, without a clear analytical expression, and has multiple peaks , Multi-target features. Therefore, traditional optimization methods such as g...

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): G06Q10/04G06N3/12
CPCG06Q10/04G06N3/126
Inventor 张贵军周晓根俞旭锋郝小虎徐东伟李章维
Owner ZHEJIANG UNIV OF TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com