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A multi-parameter optimization method

A multi-parameter optimization and control parameter technology, applied in the field of multi-parameter optimization, can solve the problems of high time complexity and space complexity, and achieve the effect of improving the convergence speed, reducing the number of iterations, and reducing the time complexity.

Active Publication Date: 2020-09-11
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a multi-parameter optimization method to solve the problems of high time complexity and space complexity existing in the prior art

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Embodiment Construction

[0050] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0051] The present invention provides a multi-parameter optimization method aiming at the existing problems of high time complexity and space complexity.

[0052] Such as figure 1 As shown, the multi-parameter optimization method provided by the embodiment of the present invention includes:

[0053] S1, initialize the position and number of iterations of each particle in the population, the particles are in a multi-dimensional space, and each dimension of the particle corresponds to a parameter to be solved;

[0054] S2, calculate the fitness value of each particle to the objective function, update the historical optimal position of each particle and the optimal position of the population according to the calculated fitness value of each particle to the...

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Abstract

The invention provides a multi-parameter optimization method. With the multi-parameter optimization method adopted, learning efficiency can be improved, and time complexity and space complexity can be decreased. The method includes the following steps that: the position and the number of iterations of each particle in a particle population are initialized, each dimension of the particle is corresponding to a parameter to be solved; the historical optimal position of each particle and the optimal position of the population are updated according to the calculated fitness value of each particle to an objective function, and an orthogonal algorithm is utilized to perform orthogonal calculation on the historical optimal position of each particle and the optimal position of the population, so that the learning vector of each particle can be obtained, the locations of particles of a next generation are determined according to the position and learning vector of each particle; and if reverse learning is performed, each particle is reversed, so that reverse particles can be obtained, if the fitness value of the reverse particles to the objective function is larger than the fitness value of the original particles to the objective function, the reverse particles are adopted to replace the original particles. The multi-parameter optimization method of the invention is applicable to the industrial parameter optimization technical field.

Description

technical field [0001] The invention relates to the technical field of industrial parameter optimization, in particular to a multi-parameter optimization method. Background technique [0002] In recent years, more and more industries and enterprises have begun to pay attention to the importance of big data in optimizing product performance, for example, using big data technology to set industrial parameters in industrial production and make corresponding optimization improvements. However, due to the large amount of data and high dimensionality of target parameters in industrial parameters, industrial parameter optimization is a machine learning problem with extremely high computing time and space. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a multi-parameter optimization method to solve the problems of high time complexity and space complexity existing in the prior art. [0004] In order to solve the above ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02
CPCG05B13/0265
Inventor 张晓彤张德恩唐静
Owner UNIV OF SCI & TECH BEIJING
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