Chaotic particle swarm algorithm based on discussion mechanism

A chaotic particle swarm and population technology, applied in the direction of chaos model, calculation, calculation model, etc., can solve the problems of decreased convergence accuracy and premature maturity, and achieve the effect of enhancing convergence accuracy, avoiding premature maturity, and improving the quality of the solution

Inactive Publication Date: 2018-11-06
FUZHOU UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The particle swarm optimization algorithm also has shortcomings: although the convergence speed is fast, the convergence accuracy has declined
And it is easy to fall into local optimum and appear premature

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
  • Chaotic particle swarm algorithm based on discussion mechanism
  • Chaotic particle swarm algorithm based on discussion mechanism
  • Chaotic particle swarm algorithm based on discussion mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0042] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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 chaotic particle swarm algorithm based on a discussion mechanism. The chaotic theory is used to initialize the population, so that the initial particles are uniformly distributed in the space, and the chaotic ergodicity is used for searching to make the algorithm jump out of the local optimum. The chaotic particle swarm algorithm is directed to the problem of low convergence accuracy of the existing algorithm, uses dual populations, and combines the discussion mechanism to enhance the convergence accuracy.

Description

technical field [0001] The invention relates to the field of particle swarm algorithm design, in particular to a chaotic particle swarm algorithm based on discussion mechanism. Background technique [0002] In 1995, J.Kennedy and R.C.Eberhart first proposed the particle swarm optimization algorithm (PSO) at the IEEE International Conference. Particle swarm optimization algorithm is a bionic swarm intelligence algorithm. By simulating some characteristics of birds looking for food, a global random search algorithm is proposed. [0003] The particle swarm optimization algorithm has a fast convergence speed, and the setting of parameter variables is simple and convenient. It once became a hot spot for many researchers to study and apply, and it is used to solve theoretical problems such as parameter optimization, neural network, pattern recognition, and engineering problems such as equipment monitoring, power system, and industrial control. The particle swarm optimization alg...

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): G06N3/00G06N7/08
CPCG06N3/006G06N7/08
Inventor 董晨叶尹陈震亦洪志兴郭文忠张凡
Owner FUZHOU UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap