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A firefly method based on simplex method

A simplex method and firefly technology, applied in the field of swarm intelligence optimization algorithm, can solve problems such as slow convergence speed, large randomness, and low solution accuracy, and achieve the effect of improving accuracy

Inactive Publication Date: 2019-01-29
GUANGXI UNIV FOR NATITIES
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AI Technical Summary

Problems solved by technology

[0012] In summary, the problems in the prior art are: The basic FA algorithm is highly random, and has slow convergence speed and low solution accuracy

Method used

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  • A firefly method based on simplex method
  • A firefly method based on simplex method
  • A firefly method based on simplex method

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0044] Such as figure 1 As shown, a firefly method based on the simplex method provided by the embodiment of the present invention includes the following steps:

[0045] S101: Initialize the parameters of the algorithm, the number of fireflies m, and the step size factor α 0 , the maximum attractiveness β 0 , the minimum attractiveness β min , the medium absorption factor γ, the maximum number of iterations maxT;

[0046] S102: Randomly initialize the positions X of m fireflies ...

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Abstract

The invention belongs to the field of swarm intelligence optimization algorithm, and discloses a firefly method and application based on a simplex method. Like other algorithms, firefly algorithm is difficult to determine step factor Alpha and attractiveness Beta. It is small and the precision of local search is improved, but it takes a long time to realize the search of the whole region. However,if it is determined to be large, there is a lack of high search accuracy. Therefore, it is proposed to improve the performance of firefly algorithm by combining the local performance of simplex method. In order to improve the local performance of firefly algorithm, the local element searching of simplex algorithm is added in a proper way in the process of algorithm. The invention has strong advantages in optimization, effectively avoids falling into local optimization and improves searching precision to a certain extent, and finally applies the improved algorithm to solve the control problemof the production process of the source protein.

Description

technical field [0001] The invention belongs to the field of swarm intelligence optimization algorithms, in particular to a firefly method based on the simplex method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Endogenous protein is an amino-containing organic acid, a very important substance with a wide range of applications. For this reason, many scholars have conducted research on it. Using endogenous proteins to identify primary central nervous system lymphoma and high-grade glioma; study molecular imaging of endogenous proteins; study the transformation rules of endogenous proteins; establish endogenous protein sulfhydryl nitrosylation modification Quantitative Omics. For this reason, much attention has been paid to the production of endogenous proteins. One method of endogenous protein production is to use yeast to produce in a reactor, and the reactor is fed-batch. In the production process, i...

Claims

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Application Information

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IPC IPC(8): G06N3/00G16B5/00
CPCG06N3/006
Inventor 莫愿斌卢彦越张超群
Owner GUANGXI UNIV FOR NATITIES
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