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Cellular-automaton-based biological evolution method

A cellular automaton and biological technology, applied in the field of biological data processing, can solve the problems of biology without combining unstable factors, achieve the effect of realizing the biological evolution process and reducing the error rate

Active Publication Date: 2019-04-05
SHAOGUAN COLLEGE
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Problems solved by technology

[0004] The present invention provides a biological evolution method based on cellular automata to solve the technical problem of biological evolution without combining unstable factors in the prior art, Therefore, it is possible to evolve biological evolution close to reality, thereby greatly reducing the error rate and realizing the process of biological evolution

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  • Cellular-automaton-based biological evolution method

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0036] Please refer to figure 1 , the preferred embodiment of the present invention provides a kind of biological evolution method based on cellular automata, comprising:

[0037] S1, obtain the characteristic data of the organism, determine the time required to evolve the organism, and form an impact factor;

[0038] S2, according to the characteristic data of the organism, generate a biological shape area through bionics algorithm simulation;

[0039] S3, obtai...

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Abstract

The invention discloses a cellular-automaton-based biological evolution method. The method comprises the steps that characteristic data of organisms is obtained, the time needed for evolving the organisms is determined, and influence factors are formed; according to the characteristic data of the organisms, by means of a bionic algorithm, a bionic shape region is generated through simulating; theweights of all influence factors are obtained through a hierarchical analysis algorithm, and weighted summation is conducted on all the influence factors according to the weight sizes of variables tocalculate development suitability data; a tissue growth mode is selected, and in combination with the development suitability data, the tissue growth is simulated for the corresponding biological shape region after division; the simulation process is stopped after the preset time required by evolution is met, and the biological evolution results are output. Accordingly, the technical problem thatin the prior art, unstable factors are not combined for conducting evolution on the organisms is solved, and therefore the error rate is lowered to the greatest extent, and the evolution process of the organisms is achieved.

Description

technical field [0001] The invention relates to the field of biological data processing, in particular to a biological evolution method based on cellular automata. Background technique [0002] The theory of evolution is one of the most basic theories of biology. Evolution refers to the evolution and development of organisms under the action of variation, heredity and natural selection, the process of species elimination and species production; the earth was originally lifeless, about 3 billion years ago, in the Under certain conditions, primitive life was formed, and after that, organisms continued to evolve, until today there are more than 1.7 million species in the world. Therefore, the study of biological evolution process is of great significance to human beings and society. [0003] In the existing technology, the concepts of effective volume and free volume of biomolecules are introduced to evolve biological evolution, but because the traditional evolution method is ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B10/00G16B50/30
Inventor 黄海辉戴经国梁勇陈燕琴
Owner SHAOGUAN COLLEGE
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