A Method of Infrared Spectrum Wavelength Selection Based on Binary Dragonfly Algorithm

Abstract

The invention belongs to the technical field of infrared spectral wavelength selecting methods, in particular to an infrared spectral wavelength selecting method based on a binary dragonfly algorithm.Infrared spectral wavelength selecting is abstracted to a binary optimization problem, solving is conducted by means of the dragonfly algorithm, strategies are introduced to guarantee the wholeness and the convergence speed of optimization, and thus an optimal wavelength point combination is screened out. According to the method, an infrared spectral wavelength screening problem is transformed into a binary optimization problem, optimization solving is conducted by means of the dragonfly algorithm innovatively, meanwhile, a series of the strategies are proposed to guarantee global search andthe convergence speed of optimization, and thus the optimal wavelength point combination is screened out. Compared with the prior art, the method has the advantages that falling into local extreme points is avoided, and the convergence speed is high and the like; the method can be widely applied to the field of solid-phase, liquid-phase and gas-phase infrared spectral wavelength selecting.

Description

technical field [0001] The invention belongs to the technical field of infrared spectrum wavelength selection methods, in particular to an infrared spectrum wavelength selection method based on a binary dragonfly algorithm. Background technique [0002] In recent years, infrared spectroscopy 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, in practical applications, it is often necessary to face the following three problems: (1) the number of wavelength points in the infrared spectrum range is usually much larger than the number of samples scanned; (2) different components often have the same absorption peak, that is, the absorption peak Overlap; (3) There is often a correlation between adjacent wavelength points, that is, collinearity. The above problems have caused great difficulties in the qualitative and quantitative modeling and analysis of infrar...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is often necessary to face the following three problems: (1) the number of wavelength points in the infrared spectrum range is usually much larger than the number of samples scanned; (2) different components often have the same absorption peak, that is, the absorption peak Overlap; (3) There is often a correlation between adjacent wavelength points, that is, collinearity

[0004] In 2016, Seyedali Mirjalili innovatively proposed the dragonfly algorithm (Neural Comput&Applic, 2016, 27:1053-1073) through the observation of the natural life habits of dragonflies, but the algorithm is mainly oriented to continuous and discrete domains. Single-objective and multi-objective optimization problems for

Images