2015
DOI: 10.1016/j.procs.2015.05.254
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Multi-objective Genetic Algorithm for Variable Selection in Multivariate Classification Problems: A Case Study in Verification of Biodiesel Adulteration

Abstract: This paper proposes multi-objective genetic algorithm for the problem of variable selection in multivariate calibration. We consider the problem related to the classification of biodiesel samples to detect adulteration, Linear Discriminant Analysis classifier. The goal of the multi--objective algorithm is to reduce the dimensionality of the original set of variables; thus, the classification model can be less sensitive, providing a better generalization capacity. In particular, in this paper we adopted a versi… Show more

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Cited by 13 publications
(10 citation statements)
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“…Rapid analysis of diesel fuel properties is of great importance. Recently, near infrared spectroscopy (NIRS) has become an effective method for rapid and real-time analysis of fuel properties [4][5][6]. The objectives of this study were (1) to investigate the feasibility of using NIR spectroscopy to predict the diesel cetane; (2) to obtain the optimal preprocessing methods for the diesel cetane; (3) to achieve the best calibration models after the comparison of PLS and LS-SVM models; and (4) three inputs of Least Squares Support Vector Machine(LS-SVM) calibration method are compared for measurement accuracy of diesel cetane number, namely principal components (PCs), latent variables (LVs), and effective wavelengths (EWs).…”
Section: Introductionmentioning
confidence: 99%
“…Rapid analysis of diesel fuel properties is of great importance. Recently, near infrared spectroscopy (NIRS) has become an effective method for rapid and real-time analysis of fuel properties [4][5][6]. The objectives of this study were (1) to investigate the feasibility of using NIR spectroscopy to predict the diesel cetane; (2) to obtain the optimal preprocessing methods for the diesel cetane; (3) to achieve the best calibration models after the comparison of PLS and LS-SVM models; and (4) three inputs of Least Squares Support Vector Machine(LS-SVM) calibration method are compared for measurement accuracy of diesel cetane number, namely principal components (PCs), latent variables (LVs), and effective wavelengths (EWs).…”
Section: Introductionmentioning
confidence: 99%
“…a group of chromosomes, to simulate the evolution in the ecosphere, and the scale of the population P equals to the number of chromosomes in the population. In the proposed method, we set P=30 [21].…”
Section: Parameter Estimation Based On Gamentioning
confidence: 99%
“…In this paper, we apply bit variation in gene mutation, and the mutation probability is set to be p for each bit. The gene mutation operation includes: (a) set the mutation genes at probability p[0.01,0.2] [21] for each chromosome; (b) reverse the selected mutation genes, i.e. change 0 to 1 and change 0 to 1, to generate a new offspring, i.e.…”
Section: Parameter Estimation Based On Gamentioning
confidence: 99%
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“…Nowadays, the combination of GA and BP is widely used to gain better prediction results . GA is used to determine initial weights and thresholds of BP neural network, to improve accurate prediction and gain fast convergence …”
Section: The Establishment Of Gra–ga–bp–mcrc Hybrid Algorithmmentioning
confidence: 99%