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

Multi-agent search method based on elite subset guide vector fireworks algorithm

A fireworks algorithm and elite subset technology, applied in the field of multi-agent collaborative target search, can solve problems such as gas leak source location, and achieve the effect of improving global search capabilities

Active Publication Date: 2021-06-01
TONGJI UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a multi-agent cooperative target search method based on the elite subset guidance vector fireworks algorithm, and is applied to solve the problem of gas leakage source location in an unknown environment

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
  • Multi-agent search method based on elite subset guide vector fireworks algorithm
  • Multi-agent search method based on elite subset guide vector fireworks algorithm
  • Multi-agent search method based on elite subset guide vector fireworks algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The application of the elite subset guided vector firework algorithm in the gas leak source location problem:

[0051] In the problem of locating the source of the gas leakage, the search and locating application is performed using the fireworks algorithm based on the elite subset guidance vector of the present invention:

[0052] assumptions: Each agent is regarded as a firework, and the agent group is put into a larger bounded search space, and the search environment only includes the agent and the target source of gas leakage. The agent is sensitive to the leakage gas, and the micro Compared with the search space, the agent has a small size and a certain local perception range, while the target gas leakage is static and has an influence range in the entire search space, so the closer the agent is to the target, the more signal it perceives. Strong, the agent itself has no prior knowledge of the environment and targets, and can only obtain information about nearby a...

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 multi-agent search method based on an elite subset guide vector fireworks algorithm. The method comprises the following steps: initializing the positions of N intelligent agents, simulating and generating explosion sparks in an intelligent agent sensing range by using a firework explosion mechanism, guiding the intelligent agents to move to the positions of the explosion sparks and elite guide sparks through a path planning method, and sensing the target source signal intensity of the intelligent agents; selecting the best position from all the positions of movement of each agent as the next-generation movement position of the agent; and repeating the intelligent agent searching and moving process until the target source is searched or the maximum number of iterations is reached. The method is applied to a gas leakage source positioning problem, and an intelligent agent group searches a target source according to a firework explosion process. According to the elite subset guide vector fireworks algorithm provided by the invention, an original guide fireworks algorithm is improved, so that the search capability of the intelligent agent is greatly improved, and a target source can be quickly and effectively positioned.

Description

technical field [0001] The invention relates to the field of multi-agent cooperative target search, in particular to a multi-agent cooperative target search method based on elite subset guidance vector fireworks algorithm. Background technique [0002] Multi-agent is an emerging research field, which mainly focuses on how to control these simple agent individuals through inter-group cooperation in an agent group containing a large number of individuals, so as to realize the complex intelligent behavior of the group. In a multi-agent swarm, each agent can emerge the desired intelligent behavior on a swarm scale through local interactions with each other and information exchange with the surrounding environment. Source target search refers to finding the target source position of the release signal by controlling the movement of one or more agents. In an implementation scenario, this signal may be the concentration of a certain chemical substance, or some signal in the enviro...

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): G06N3/00G06F17/16
CPCG06N3/006G06F17/16
Inventor 张军旗洪鹏程王成康琦臧笛刘春梅
Owner TONGJI 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