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

Method for reducing calculating time of intelligent optimization algorithm

An intelligent optimization algorithm and variable optimization technology, which is applied in computing, special data processing applications, instruments, etc.

Inactive Publication Date: 2015-04-08
NORTHWESTERN POLYTECHNICAL UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And selecting a large number of sample data itself also requires a lot of time consumption.

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
  • Method for reducing calculating time of intelligent optimization algorithm
  • Method for reducing calculating time of intelligent optimization algorithm
  • Method for reducing calculating time of intelligent optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0048] refer to Figure 1 ~ Figure 3 , when the genetic algorithm (GA) is used to optimize the design problem of high coincidence herringbone gear modification in the field of mechanical design, the modification parameter is used as the design variable, and the root mean square value of the vibration acceleration along the meshing line is objective function. Due to the complexity of the calculation process of the fitness value, including load-bearing contact analysis (LTCA) of the herringbone gear, the solution of the nonlinear dynamic differential equation, etc., the time-consuming calculation of the fitness value is unacceptable in engineering. Therefore, the key to using the method of the present invention to reduce the calculation time in the process of calculating the fitness value of the genetic algorithm is to predict the fitness value of some calculated ...

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 method for reducing calculating time of an intelligent optimization algorithm. When optimization solution is performed on an optimization design problem of high overlap ratio herringbone gear modification in the field of machinery design by means of a genetic algorithm (GA), profile modification parameters are used as design variables, and a root-mean-square value of vibration acceleration along a meshing line direction is used as an objective function. The process of fitness value calculation is complicated, which includes herringbone gear loaded tooth contact analysis (LTCA), non-linear dynamics differential equation solution and the like, and consumed time of fitness value calculation can not be accepted in engineering. Therefore, by means of the method for reducing calculating time of the intelligent optimization algorithm, in order to reduce the calculation time in the calculation process of fitness values by the GA, the key is predication of fitness values of a part of calculation individuals, and time-wasting fitness value calculation is replaced.

Description

technical field [0001] The invention belongs to a method for reducing the time-consuming calculation of a computer in an intelligent optimization algorithm, in particular to a method for reducing the time-consuming calculation of an intelligent optimization algorithm, which is a method for reducing the time-consuming calculation of an intelligent optimization algorithm by using fitness value prediction. Background technique [0002] Group-based intelligent optimization algorithms, such as genetic algorithm (GA), ant colony algorithm (ACO), particle swarm algorithm (PSO), etc., have faster optimization speed and better global convergence performance than traditional optimization algorithms , the insensitivity to initial value selection, and the ability to solve discontinuous, multi-peak, high-dimensional optimization problems are widely used in the optimization design of complex mechanical systems. However, these intelligent optimization algorithms all face the time-consuming...

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): G06F19/00
Inventor 赵宁秋朋园赵永志
Owner NORTHWESTERN POLYTECHNICAL UNIV
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