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

Complicated function maximum and minimum solving method by means of parallel artificial bee colony algorithm based on computer cluster

An artificial bee colony algorithm and complex function technology, applied in complex mathematical operations, concurrent instruction execution, machine execution devices, etc., can solve problems such as long calculation time and low calculation accuracy

Inactive Publication Date: 2013-03-20
SHANDONG UNIV
View PDF2 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the defects and deficiencies of the prior art and to solve the problems of too long calculation time and low calculation accuracy when ordinary serial algorithms solve complex optimization problems, the present invention proposes a method based on parallel artificial bee colony algorithm to solve complex optimization problems. The most valuable method of the function

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
  • Complicated function maximum and minimum solving method by means of parallel artificial bee colony algorithm based on computer cluster
  • Complicated function maximum and minimum solving method by means of parallel artificial bee colony algorithm based on computer cluster
  • Complicated function maximum and minimum solving method by means of parallel artificial bee colony algorithm based on computer cluster

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0076] Such as figure 1 As shown, a method based on the parallel artificial bee colony algorithm to solve the maximum value of complex functions includes multiple computers participating in the calculation. Each computer is installed with a Linux operating system and related MPICH software, and one end of each network cable is inserted into the computer. Network port, the other end is connected to the router of the same LAN, and Linux SSH is configured to enable each computer to access each other without a password, and one of the computers is selected as the master computer to be responsible for the collection of data and tasks It also participates in the calculation as a computing node, and the rest of the computers are only responsible for computing functions; through the above, the hardware connection and software configuration of parallel computing are completed; in the design of the artificial bee colony algorithm When the calculation is performed, the calculated paramet...

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 complicated function maximum and minimum solving method by means of a parallel artificial bee colony algorithm based on a computer cluster and belongs to the field of computer parallel computing technique. According to the method, the purpose of complicated function maximum and minimum solving by means of the parallel artificial bee colony algorithm on a plurality of computers is achieved by combination of the method and a message passing interface (MPI) software package in the Linux system. Experimental results show that in a complicated function maximum and minimum solving process, the parallel artificial bee colony algorithm is higher in accuracy and higher in speed than an ordinary serial algorithm, and efficiency of computing function maxima and minima is improved greatly.

Description

technical field [0001] The invention relates to a method for solving the maximum value of a complex function based on a computer cluster-based parallel artificial bee colony algorithm, and belongs to the technical field of computer parallel computing. Background technique [0002] With the strengthening of my country's economic strength and the rapid development of information technology, computers have entered thousands of households. Due to the large population of our country and the unevenness of personnel at all levels of education, thousands of ordinary people basically only use computers for basic functions such as surfing the Internet, playing games, multimedia, etc., leaving a large amount of computer resources idle. However, at the same time, product research and development bases and scientific research institutions such as universities, scientific research institutes, and enterprises are facing a huge shortage of computing resources. How to balance the uneven dis...

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): G06F17/15G06F9/38
Inventor 江铭炎徐昆袁东风贲晛烨
Owner SHANDONG 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