Unlock instant, AI-driven research and patent intelligence for your innovation.

A grid weaving optimization method and device

An optimization method and grid technology, applied in the field of information processing, can solve the problems of poor local optimization ability and premature convergence

Active Publication Date: 2021-05-11
GUANGDONG UNIV OF TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a grid weaving optimization method and device, which are used to solve the technical problems of the existing PSO algorithm, which are prone to premature convergence and poor local optimization ability in dealing with complex multi-peak search problems

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
  • A grid weaving optimization method and device
  • A grid weaving optimization method and device
  • A grid weaving optimization method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The embodiments of the present invention provide a grid weaving optimization method and device, which solve the technical problems that the existing PSO algorithm is prone to premature convergence and poor local optimization ability when dealing with complex multi-peak search problems.

[0059] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0060] see figure 1 , an embodiment of the...

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 discloses a grid weaving optimization method and device, which enables two random particles to learn from each other through up-and-down weaving, increases population diversity, and facilitates the particle swarm to search for the global optimal value. Once a certain dimension of a particle stagnates, it can get rid of the local optimum under the left and right weaving operation, and it will quickly spread to the entire population through the left and right weaving behavior, and the updated dimension will also make the other dimensions fall into the local optimum. There are more opportunities to jump out of the local optimum through the left and right weaving behavior, and the results of the two weaving methods will spread in the entire population in a chain reaction, which solves the problem that the existing PSO algorithm is prone to premature in dealing with complex multi-modal search problems Convergence and technical problems of poor local optimization capabilities.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a grid weaving optimization method and device. Background technique [0002] Particle swarm optimization algorithm is a new evolutionary algorithm developed by J.Kennedy and R.C.Eberhart in recent years. PSO algorithm (particle swarm optimization algorithm) is a kind of evolutionary algorithm. It is a random search algorithm based on group cooperation developed by simulating the foraging behavior of birds. A group of birds is randomly searching for food. In this area, only A piece of food, all birds do not know where the food is, but they know how far the current position is from the food. The most simple and effective way is to search the surrounding area of ​​the bird that is currently closest to the food. PSO is initialized as a group of random particles (random particles). solution), and then find the optimal solution by iteration, in each iteration the particle updates...

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 Patents(China)
IPC IPC(8): G06N3/00
CPCG06N3/006
Inventor 张淼刘日升郝雪冬庞卓标唐雄民
Owner GUANGDONG UNIV OF TECH