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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
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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

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

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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...

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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

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Application Information

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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
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