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

Chaotic artificial bee colony optimal data acquisition method, path planning method and resource dispatch method

An artificial bee colony and data acquisition technology, applied in data processing applications, artificial life, instruments, etc., can solve problems such as slow convergence speed and premature maturity, and achieve the effect of avoiding falling into premature maturity, improving solution accuracy, and speeding up optimization ability.

Inactive Publication Date: 2019-01-01
厦门北卡信息科技有限公司
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Aiming at the shortcomings of artificial bee colony algorithm, such as slow convergence speed and prone to "premature", Li Rong et al. proposed a chaotic bee colony algorithm guided by the global optimal value

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 artificial bee colony optimal data acquisition method, path planning method and resource dispatch method
  • Chaotic artificial bee colony optimal data acquisition method, path planning method and resource dispatch method
  • Chaotic artificial bee colony optimal data acquisition method, path planning method and resource dispatch method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0038] Any feature disclosed in this specification (including the abstract and drawings), unless specifically stated, can be replaced by other equivalent or similar purpose alternative features. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0039] Such as figure 1 A chaotic artificial bee colony optimal data acquisition method shown is realized on the basis of the discussed mechanism, and the specific methods include,

[0040]S1, initialize the population parameters, the number of honey sources is set to 2SN, the maxi...

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 provides a chaotic artificial bee colony optimal data acquisition method, a path planning method and a resource scheduling method, wherein, a chaotic factor is added in a basic bee colony algorithm to initialize the population, thereby accelerating the searching ability of the algorithm; in order to make the algorithm jump out of the local optimal solution, a discussion mechanism isintroduced to effectively avoid the algorithm falling into prematurity, and the discussion between groups of bee colony population increases the algorithm's ability to jump out of the global optimal solution and improves the solution accuracy.

Description

technical field [0001] The invention relates to a chaotic artificial bee colony optimal data acquisition method, a path planning method and a resource scheduling method, and relates to the fields of path planning and resource scheduling. Background technique [0002] The artificial bee colony algorithm is a swarm intelligence algorithm proposed by Turkish scholar Karaboga in 2005, inspired by the behavior of bees collecting honey and dancing to transmit information, and the algorithm has fewer control parameters, simple implementation, and good solution results. It has received extensive attention and has been successfully applied in parameter optimization, neural network training, vehicle routing problems, minimum attribute reduction and other fields. However, the traditional artificial bee colony algorithm has the characteristics of slow search speed and blind search. During the search process, the retrieved solutions will be repetitive. The harm of repeated solutions will...

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): G06Q10/04G06N3/00
CPCG06Q10/047G06N3/006
Inventor 陈明志陈荣忠董晨叶尹林易光张凡周怡饶庆裕杨小权李栋
Owner 厦门北卡信息科技有限公司
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