A New Model of Projection Pursuit Grade Evaluation Model Based on Simulated Annealing Ant Colony Optimization Algorithm

A New Model of Projection Pursuit Grade Evaluation Model Based on Simulated Annealing Ant Colony Optimization Algorithm

Gai Zhaomei, Liu Rentao, Jiang Qiuxiang
Copyright: © 2018 |Volume: 12 |Issue: 4 |Pages: 12
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781522543053|DOI: 10.4018/IJCINI.2018100104
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MLA

Zhaomei, Gai, et al. "A New Model of Projection Pursuit Grade Evaluation Model Based on Simulated Annealing Ant Colony Optimization Algorithm." IJCINI vol.12, no.4 2018: pp.69-80. http://doi.org/10.4018/IJCINI.2018100104

APA

Zhaomei, G., Rentao, L., & Qiuxiang, J. (2018). A New Model of Projection Pursuit Grade Evaluation Model Based on Simulated Annealing Ant Colony Optimization Algorithm. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 12(4), 69-80. http://doi.org/10.4018/IJCINI.2018100104

Chicago

Zhaomei, Gai, Liu Rentao, and Jiang Qiuxiang. "A New Model of Projection Pursuit Grade Evaluation Model Based on Simulated Annealing Ant Colony Optimization Algorithm," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 12, no.4: 69-80. http://doi.org/10.4018/IJCINI.2018100104

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Abstract

Projection pursuit model (PP) is widely used in many fields, especially quality evaluation. One of the biggest shortages of PP was that the projection direction is strongly influenced by relevant parameters. In order to solve this problem, many experts and scholars introduced all kinds of parameters optimization method in PP. Based on the basis of previous studies, the article proposed a new model of projection pursuit grade evaluation model (PPE) integrated with simulated annealing ant colony optimization algorithm (SA-ACO). It provided a new thought and method for quality evaluation research. The case example demonstrated that the accuracy and the effect evaluation of the model was effectively and more objectively and practical in the evaluation of quality.

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