Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Population competition dynamics optimization method with horizontal nutrition structures

An optimization method, kinetic technology, applied in biological models, instruments, computational models, etc.

Inactive Publication Date: 2013-07-24
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] In order to solve the problems existing in the above-mentioned prior art, the object of the present invention is to provide a population competition dynamics optimization method with horizontal nutritional structure—PCDO-HNS algorithm, which has the characteristics of strong search ability and global convergence, and is complex The solution of function optimization problems, especially high-dimensional optimization problems, provides a solution

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
  • Population competition dynamics optimization method with horizontal nutrition structures
  • Population competition dynamics optimization method with horizontal nutrition structures
  • Population competition dynamics optimization method with horizontal nutrition structures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0190] The present invention will be described in further detail below in conjunction with specific examples.

[0191] (1) Determine the actual optimization problem to be solved, and transform the problem into the standard form described by formula (1). which is

[0192] (2) If the actual optimization problem is to find max f(X), change it to min-f(X).

[0193] (3) Compress and adjust all the variable intervals of the actual optimization problem, namely

[0194] if 0≤x i ≤a i , a i ≥0, i=1, 2, ..., n, then set x i =a i the y i Substitute into the actual optimization problem, this is the actual optimization problem is about the variable y i The optimization problem of , 0≤y i ≤1.

[0195] if-a i ≤x i ≤0, a i ≥0, i=1, 2, ..., n, then set x i =-a i the y i Substitute into the actual optimization problem, this is the actual optimization problem is about the variable y i The optimization problem of , 0≤y i ≤1.

[0196] if-b i ≤x i ≤a i , a i ≥0,b i ≥0, i=1,...

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 population competition dynamics optimization method with horizontal nutrition structures is a PCDO-HNS algorithm. A solution space of an optimization problem is regarded as an ecosystem which has a plurality of different sub-systems, each sub-system has a specific horizontal nutrition structure type which is one of a normal distribution type, a discrete distribution type, a nearest type, an even type and a monotone decreasing type, populations living in each sub-system mutually compete, and mutual learning behaviors, mutual influence behaviors, mutation occurring behaviors and close keeping behaviors also exist in an accompanying mode. A population competition dynamics model with the horizontal nutrition structures are used for constructing five population evolution operators of the normal distribution type, the discrete distribution type, the nearest type, the even type and the monotone decreasing type, and the operators are used for constructing evolution strategies of the populations. The algorithm has the advantages of being strong in search capability and having global convergence, and a solution scheme is provided for the solution of a complex function optimization problem.

Description

technical field [0001] The invention relates to an intelligent optimization algorithm, in particular to a population competition dynamics optimization method with a horizontal nutritional structure—PCDO-HNS algorithm. Background technique [0002] Consider general function optimization problems [0003] minf(X) [0004] s . t . g i ( X ) ≥ 0 , i = 1 , 2 , · · · , I h i ...

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
IPC IPC(8): G06N3/00
Inventor 黄光球陆秋琴
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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