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Large-scale intelligent group independent collaborative modeling method for imitation of starling group flight

A technology imitating starlings and modeling methods, applied in computing models, biological models, instruments, etc., can solve problems such as failure to break through the autonomous coordination of intelligent groups, and achieve strong self-adaptive effects

Active Publication Date: 2018-11-16
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

[0005] A review of the latest research results at home and abroad has failed to break through the autonomous coordination of intelligent groups in the order of magnitude

Method used

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  • Large-scale intelligent group independent collaborative modeling method for imitation of starling group flight
  • Large-scale intelligent group independent collaborative modeling method for imitation of starling group flight
  • Large-scale intelligent group independent collaborative modeling method for imitation of starling group flight

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Embodiment Construction

[0041] The invention introduces the biological intelligence of starling group flight into large-scale intelligent group collaborative application, and proposes a large-scale intelligent group autonomous collaborative modeling method imitating the starling group behavior mechanism. The basic idea is: a set of individuals (called Agent) with a certain group size N in the D-dimensional space {agent 1 , agent 2 ,...,agent N}, each Agent has a certain flight speed, and can determine the direction and distance of its flight. The initial values ​​of Agent's position and velocity are determined by random numbers. All agents search the nearest 6 or 7 neighbors around them in the solution space. Each Agent is endowed with a certain memory function, which can remember the optimal position it has found. Its fitness value is determined by the fitness function, and the quality of its current position is evaluated accordingly. After flying per unit time, each agent dynamically adjusts i...

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Abstract

The invention provides a large-scale intelligent group independent collaborative modeling method for imitation of starling group flight. The method comprises the steps of initializing a population andparameters thereof, setting as follows: in the initial state, all Agents use initial positions as optimal positions, and all Agents use optimal values of six or seven most closest neighbors as localoptimal values; calculating a fitness function, and setting distribution anisotropy of neighbors around each Agent, wherein six or seven most closest neighbors are isotropic, and interaction between the Agents depends on a topological distance; selecting an updating company, comprising the step of selecting one of the six or seven most closest neighbors as an updating company for a certain Agent;defining an interaction relationship of Agents; and updating Agent speed and position. The method has a broad application prospect in military, emergency, industrial and medical care fields like dronecluster intensive formation, group emergency evacuation in a large collection place, large-scale robot group collaborative operation, and disease spread control.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence swarm intelligence applications, and in particular relates to a modeling method for large-scale intelligent swarm autonomous collaboration imitating starling flocking flight. Background technique [0002] Many application fields, such as dense formation of UAV clusters, emergency evacuation of large public places, collaborative operation of industrial robot groups, etc., require large-scale intelligent agents to work together to complete. In intelligent swarm application systems, agents (such as sensors, robots, aircraft, etc.) have limited individual capabilities, but their swarms can demonstrate efficient collaborative capabilities and advanced levels of intelligent coordination. With the continuous development of technologies such as computer networks, communications, and distributed computing, many practical application systems often become very large and complex, making it imp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00
CPCG06N3/006Y02T90/00
Inventor 谢榕
Owner WUHAN UNIV
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