Optimization method for decision-making of simulated agent rescue communication in low communication environment

A communication environment and optimization method technology, applied in the field of communication, can solve the problems of less information, waste of intelligent body resources, waste of time, etc., and achieve the effect of improving competition performance

Active Publication Date: 2022-04-29
NANJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of the K-means algorithm is that every few cycles, the agent needs to spend a certain amount of time to go to a certain point, wasting time, and the information they know is a few cycles ago, and the information has a certain lag. The amount of information obtained by the agent is also small, the greedy algorithm in the decision-making method is a local optimum, and the decision-making is made through an empirical formula
[0004] In a low-communication environment, this method has problems such as too little information in a single pass and a waste of agent resources.

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
  • Optimization method for decision-making of simulated agent rescue communication in low communication environment
  • Optimization method for decision-making of simulated agent rescue communication in low communication environment
  • Optimization method for decision-making of simulated agent rescue communication in low communication environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] In order to deepen the understanding of the present invention, the specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. This embodiment is only used to explain the present invention and does not constitute a limitation to the protection scope of the present invention.

[0066]Figure 1a and 1b As shown, the simulated intelligent body rescue communication decision-making optimization method under the low communication environment of the present invention comprises the following steps:

[0067] The agent judges whether it is a specific map;

[0068] If it is a specific map, read the map configuration file to get the detailed information of the map;

[0069] If it is not a specific map, read the name of the map to obtain the key information required by the fuzzy system;

[0070] The genetic algorithm analyzes and processes the information perceived by the agent, adjusts the ratio of various infor...

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 simulation intelligent body rescue communication decision-making optimization method in a low communication environment. In an urban rescue simulation competition for poor communication environment, the intelligent body communication and decision-making optimization method consists of two parts, fuzzy-genetic algorithm and Dynamic fuzzy decision tree, fuzzy-genetic algorithm analyzes and processes the information perceived by the agent, adjusts the proportion of different information to the total information, so as to transmit relatively important information, and discretize the above important information data; according to Completing the missing data in the actual situation; selecting the classification attribute of the dynamic fuzzy decision tree; pruning the decision tree to obtain the final decision tree and improving the competition performance.

Description

technical field [0001] The invention relates to a communication method, in particular to a simulation intelligent body rescue communication decision optimization method in a low communication environment. Background technique [0002] Multi-Agent system (MAS) is a swarm intelligence system, which is a simulation of nature and human social groups, and has received more and more attention in recent years. RoboCup urban rescue simulation, as a project of the RoboCup competition, provides a flexible, low-cost, real-time changing simulation platform for MAS research. In the RoboCup urban rescue simulation project, how to make correct decisions based on a small amount of information in the environment of poor communication has become the focus of research by various teams at home and abroad. [0003] Iran's MRL team uses the K-means algorithm to divide the entire map into several regions, and directs some police agents (police force, pf) to transmit information. After a certain p...

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): G06N5/04G06N3/12G06N7/06
CPCG06N3/126G06N5/043G06N7/06
Inventor 周戎梁志伟
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap