Infrared spectrum wavelength selection method based on discrete multi-universe optimization algorithm

An optimization algorithm and infrared spectroscopy technology, applied in the field of infrared spectroscopy wavelength selection, which can solve the problem that the multiverse optimization algorithm is not suitable for the discrete variable optimization problem.

Active Publication Date: 2016-03-30
ZHONGBEI UNIV
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Problems solved by technology

[0010] In view of the fact that the existing multiverse optimization algorithm is not suitable for solving the optimization problem of discrete varia...

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  • Infrared spectrum wavelength selection method based on discrete multi-universe optimization algorithm
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  • Infrared spectrum wavelength selection method based on discrete multi-universe optimization algorithm

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[0050] The following embodiments will further describe the present invention in conjunction with the accompanying drawings.

[0051] The principle of the present invention is to map the infrared spectrum wavelength selection problem into an optimization problem of discrete variables, that is, first divide the entire spectral range into several sub-intervals, and then use a string of binary codes containing only "1" or "0" to represent the corresponding Whether the sub-interval is selected or not, the existing multiverse optimization algorithm is then discretized, and finally iterative optimization calculation is performed to screen out the best combination of characteristic wavelengths.

[0052] The following embodiments are described in detail in conjunction with the accompanying drawings. The following embodiments are only to make the technical solution of the present invention clearer and easier to understand, but not to limit it, and do not affect the protection scope of the ...

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Abstract

The invention relates to the technical field of infrared spectrum wavelength selection, in particular to an infrared spectrum wavelength selection method based on a discrete multi-universe optimization algorithm. The discrete multi-universe optimization algorithm is applied to the field of the infrared spectrum wavelength selection. According to the method, the problem about the infrared spectrum wavelength selection is mapped into a discrete variable optimization problem, that is, a whole spectrum range is divided into a plurality of sub-ranges firstly, whether a corresponding sub-range is selected or not is represented by a string of binary codes only containing 1 or 0, then a conventional discrete multi-universe optimization algorithm is discretized, and iterative optimization calculation is performed finally, so that the best characteristic wavelength combination is screened out. The infrared spectrum wavelength selection method is mainly applied to the infrared spectrum wavelength selection.

Description

technical field [0001] The present invention relates to the technical field of infrared spectrum wavelength selection, and more specifically, to an infrared spectrum wavelength selection method based on a discrete multiverse optimization algorithm. Background technique [0002] Infrared spectroscopic analysis is a new analytical technique, which has been widely used in the fields of agriculture, chemical industry and environmental monitoring due to its advantages of fast, non-destructive and non-polluting. However, infrared spectroscopy usually has the characteristics of multiple wavelength points, overlapping absorption peaks, and serious collinear relationship between wavelength points, which makes subsequent qualitative and quantitative analysis difficult. Therefore, the study of wavelength selection methods has important practical significance for simplifying the model and improving the predictive ability and robustness of the model. [0003] In February 2015, Seyedali ...

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Application Information

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IPC IPC(8): G01N21/35G06F17/50
CPCG01N21/35G06F30/367
Inventor 陈媛媛张瑞景宁陈友华李晋华王志斌
Owner ZHONGBEI UNIV
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