Application of an improved artificial bee colony algorithm to inverse problem of aerosol optical constants from spectral measurement data

He, Zhenzong; Mao, Junkui; Han, Xingsi

doi:10.1016/j.ijleo.2017.06.038

Cited by 7 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where i  is a uniformly distributed real random number in the range of [0, 1]. Evaluate the quality of i V and calculate the corresponding fitness value i Fit [20]:…”

Section: The Principle Of the Abc Algorithmmentioning

confidence: 99%

“…If i X cannot be improved, its counter holding the number of trials is incremented by 1, otherwise, the counter is reset to 0. When the employed bees bring back the nectar information of the food sources, the onlooker bees choose a food source depending on the probability i P [20]: If a position of food source cannot be improved further after a predetermined number limit of cycles, the food source will be abandoned. Assume that the abandoned source is value gbest of all the food sources are also recorded.…”

Section: The Principle Of the Abc Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Determination of aerosol particle size distribution by a novel artificial bee colony-differential evolution hybrid algorithm

He¹,

Mao²,

Han³

et al. 2019

THERM SCI

View full text Add to dashboard Cite

The aerosol size distribution, a vitally important environmental quality evaluation criterion, has a significant influence on radiative transfer and meteorological phenomena. To measure the aerosol size distribution effectively and accurately, the light scattering measurement method combined with a novel artificial bee colony-differential evolution hybrid algorithm which was based on the artificial bee colony algorithm and differential evolution algorithm, was proposed. First, the retrieval accuracy and convergence properties of the artificial bee colonydifferential evolution algorithm were compared with those of the artificial bee colony algorithm. The results revealed that the artificial bee colony-differential evolution algorithm could avoid the phenomenon of local optima and low convergence accuracy which exited in artificial bee colony algorithm. Then, the parametric estimation of two commonly used monomodal aerosol size distribution, i. e. the Gamma distribution and the logarithmic normal distribution were studied under different random measurement errors. The investigation indicated that the retrieval results using the artificial bee colony-differential evolution showed better accuracy and robustness than those using the artificial bee colony. Moreover, the retrieval parameters with better monodromy characteristic would have better inverse accuracy. Finally, the actual measured aerosol size distribution over city of Harbin, China were also retrieved. All the results confirm that the artificial bee colony-differential evolution algorithm was an effective and reliable technique for estimating the aerosol size distribution.

show abstract

“…where i  is a uniformly distributed real random number in the range of [0, 1]. Evaluate the quality of i V and calculate the corresponding fitness value i Fit [20]:…”

Section: The Principle Of the Abc Algorithmmentioning

confidence: 99%

Section: The Principle Of the Abc Algorithmmentioning

confidence: 99%

Determination of aerosol particle size distribution by a novel artificial bee colony-differential evolution hybrid algorithm

He¹,

Mao²,

Han³

et al. 2019

THERM SCI

View full text Add to dashboard Cite

show abstract

“…Among these optical measurement methods, the angular light-scattering (ALS) method is regarded as one of the most viable. For example, the ALS method was applied to study the fractal dimension and size distribution of noncompact soot aggregates [15], the optical constants of the particle [16], the particle size distribution [17,18], and the particle concentration [19][20][21][22]. In the author's previous work [23,24], the ALS method combined with inverse radiative problem technique is successfully applied to study the PSD and optical constants.…”

Section: Introductionmentioning

confidence: 99%

Application of Multistep Inversion Method for Online Monitoring Aerosol Particle Size Distribution and Aerosol Concentration

Mao

et al. 2020

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

Aerosol concentration in the flow is usually time varying, and aerosol particle size distribution (PSD) is considered to be unchanged, which increases the difficulty of the measurement of aerosol PSD and concentration online. To solve these problems, a kind of multistep inversion method based on the angular light-scattering (ALS) signals is proposed. First, the aerosol PSD is estimated using shuffled frog-leaping algorithms (SFLAs) from relative ALS signals. Then, with aerosol PSD as priori information, the aerosol concentration is obtained by the Kalman filter (KF) algorithm, widely used in the real-time control system of industrial facilities for its ability of fast predictions. The result reveals that the performance of the improved SFLA is better than that of the original SFLA in solving the aerosol PSD. Moreover, in studying the aerosol concentration, more accurate results can be obtained with larger standard deviation of process noise or smaller standard deviation of measurement noise, while decreasing sampling time interval can improve the accuracy of retrieval results and reduce time delay to a certain degree. So, to improve retrieval accuracy, the noise should be controlled, and appropriate sampling time interval should be selected. All the numerical simulations confirm that the methodology provides effective and reliable results in real-time estimating.

show abstract

“…Recently, coupled with some intelligent optimization algorithms, the optical measurement method, e.g., spectral extinction measurement, angular scattering measurement, optical depth measurement, or any combination of these, is regarded as a fast, nonintrusive, and convenient method to retrieve the ASD and aerosol optical constants. [5,[11][12][13][14][15][16][17][18] However, accurate prediction of the optical constants and ASDs simultaneously is still regarded as a very challenging problem and needs further research.…”

Section: Introductionmentioning

confidence: 99%

“…The inverse problem is solved by using an improved artificial bee colony (IABC) algorithm, which has been successful in solving the problem of retrieving the aerosol optical constants in our previous work. [11] Moreover, an optimized selection principle of measurement angles on the basis of the sensitivity analysis and principle component analysis (PCA) is proposed to improve the retrieval accuracy. The remainder of this paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous estimation of aerosol optical constants and size distribution from angular light-scattering measurement signals

Liang

Mao

et al. 2018

Chinese Phys. B

View full text Add to dashboard Cite

The angular light-scattering measurement (ALSM) method combined with an improved artificial bee colony algorithm is introduced to determine aerosol optical constants and aerosol size distribution (ASD) simultaneously. Meanwhile, an optimized selection principle of the ALSM signals based on the sensitivity analysis and principle component analysis (PCA) is proposed to improve the accuracy of the retrieval results. The sensitivity analysis of the ALSM signals to the optical constants or characteristic parameters in the ASD is studied first to find the optimized selection region of measurement angles. Then, the PCA is adopted to select the optimized measurement angles within the optimized selection region obtained by sensitivity analysis. The investigation reveals that, compared with random selection measurement angles, the optimized selection measurement angles can provide more useful measurement information to ensure the retrieval accuracy. Finally, the aerosol optical constants and the ASDs are reconstructed simultaneously. The results show that the retrieval accuracy of refractive indices is better than that of absorption indices, while the characteristic parameters in ASDs have similar retrieval accuracy. Moreover, the retrieval accuracy in studying L-N distribution is a little better than that in studying Gamma distribution for the difference of corresponding correlation coefficient matrixes of the ALSM signals. All the results confirm that the proposed technique is an effective and reliable technique in estimating the aerosol optical constants and ASD simultaneously.

show abstract

Application of an improved artificial bee colony algorithm to inverse problem of aerosol optical constants from spectral measurement data

Cited by 7 publications

References 27 publications

Determination of aerosol particle size distribution by a novel artificial bee colony-differential evolution hybrid algorithm

Determination of aerosol particle size distribution by a novel artificial bee colony-differential evolution hybrid algorithm

Application of Multistep Inversion Method for Online Monitoring Aerosol Particle Size Distribution and Aerosol Concentration

Simultaneous estimation of aerosol optical constants and size distribution from angular light-scattering measurement signals

Contact Info

Product

Resources

About