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Natural calculation method based on swarm intelligence

A computing method, a technology of swarm intelligence, applied in interdisciplinary fields, which can solve problems such as inability to reach the target position

Pending Publication Date: 2022-02-08
YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA +2
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Because it relies on blood circulation as the power source of nanoparticles, and does not apply external force to control it, it will cause nanoparticles to spread all over the body and cannot reach the target location along the most effective path

Method used

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  • Natural calculation method based on swarm intelligence
  • Natural calculation method based on swarm intelligence
  • Natural calculation method based on swarm intelligence

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Embodiment Construction

[0036] The invention is described in detail below according to the drawings and embodiments, and the technical solution of the invention is clearly described. The embodiments selected here are only for explaining the invention, not for limiting the invention.

[0037] The present invention proposes a natural calculation method based on swarm intelligence, which is implemented based on external controllable micro-nano robots, to overcome the impact of dynamic changes in the optimization environment in the body on the fitness calculation of multi-agents, and to realize dynamic optimization in the body Accurate solution in the environment, where the agent refers to the external controllable micro-nano robot, hereinafter referred to as the micro-nano robot; the natural calculation method specifically includes the following steps:

[0038] S1) Establishment of natural computing model

[0039] Construct a natural computing model, in which it is assumed that there are K agents A 1 ...

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Abstract

The invention discloses a natural calculation method based on swarm intelligence, the method provides an optimal state retention operation mechanism based on a weak person priority evolutionary strategy in static living body calculation, the mechanism carries out multiple times of sampling in a tracking period of a micro-nano robot, and the intelligent agent fitness of each sampling point is calculated, then, the maximum fitness value of the same agent in the same tracking period is selected as the final fitness of the agent in the tracking period, the fitness of the micro-nano robot in one tracking period can be evaluated for multiple times through the method, and then the optimal evaluation state is extracted, the time-varying characteristic of intelligent agent fitness calculation caused by a dynamic biological gradient field is overcome, and the relative accuracy of fitness evaluation is improved. Therefore, the calculation mechanism ensures the accuracy of shared information in a multi-agent collaborative search process in an in-vivo dynamic optimization environment, so that the solving efficiency of a globally optimal solution in natural calculation is improved.

Description

technical field [0001] The invention belongs to the interdisciplinary field, relates to research directions such as computing intelligence, micro-nano robot, and information medicine, and specifically relates to a natural computing method based on swarm intelligence. Background technique [0002] Traditional medical imaging technology is limited by the resolution of the imaging system and cannot realize living tissue imaging at the cellular level. In recent years, with the continuous penetration of nanotechnology in the medical field, the medical imaging technology based on nanoparticles has also developed rapidly. For example, the existing nanoparticle system relies on the blood circulation of the human body to provide power for the nanoparticles injected into the human body. Through the high permeability of blood vessels in the lesion area, the nanoparticles are continuously gathered around the lesion to realize the transmission of the contrast agent. The angle of view ca...

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Application Information

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IPC IPC(8): G06N3/00
CPCG06N3/006G06N3/008
Inventor 师少龙陈意钒刘强丁菊容
Owner YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
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