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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.8 P.1416~1421

10.1631/jzus.2006.A1416


Multi-objective genetic algorithm for the optimization of road surface cleaning process


Author(s):  CHEN Jie, GAO Dao-ming

Affiliation(s):  Auto-body Manufacturing Center, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   Gauss_gao@sjtu.edu.cn

Key Words:  Optimization, Waterjets, Road surface cleaning, Genetic algorithm, Multi-objective


CHEN Jie, GAO Dao-ming. Multi-objective genetic algorithm for the optimization of road surface cleaning process[J]. Journal of Zhejiang University Science A, 2006, 7(8): 1416~1421.

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author="CHEN Jie, GAO Dao-ming",
journal="Journal of Zhejiang University Science A",
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pages="1416~1421",
year="2006",
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%T Multi-objective genetic algorithm for the optimization of road surface cleaning process
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%J Journal of Zhejiang University SCIENCE A
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1416

TY - JOUR
T1 - Multi-objective genetic algorithm for the optimization of road surface cleaning process
A1 - CHEN Jie
A1 - GAO Dao-ming
J0 - Journal of Zhejiang University Science A
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EP - 1421
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1416


Abstract: 
The parameters affecting road surface cleaning using waterjets were researched and a fuzzy neural network method of calculating cleaning rate was provided. A genetic algorithm was used to configure the cleaning parameters of pressure, standoff distance, traverse rate and angle of nozzles for the optimization of the cleaning effectiveness, efficiency, energy and water consumption, and a multi-objective optimization model was established. After calculation, the optimized results and the trend of variation of cleaning effectiveness, efficiency, energy and water consumption in different weighting factors were analyzed.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Babets, K., Geskin, E.S., 2000. Optimization of energy utilization in the course of material processing. ECOS, 3:1673-1682.

[2] Baker, J.E., 1985. Adaptive Selection Methods for Genetic Algorithms. Proceedings of the 1st International Conference on Genetic Algorithms, p.101-111.

[3] Jang, J., 1993. ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics, 23(3):665-685.

[4] Liu, T.C., Li, A.G., Ding, Y., 1999. Fuzzy evaluation for quality of high pressure water jet cleaning machine. China Safety Science Journal, 10:73-76 (in Chinese).

[5] Louis, H., Schikorr, W., 1982. Fundamental Aspects in Cleaning with High-Speed Water Jets. Proceedings of the 6th International Symposium on Jet Cutting Technology, p.217-228.

[6] Shen, Z.H., Wang, Z.M., Wang, K.L., 1996. Experimental study on property of water-solid abrasive jet for cleaning coating of oil tube. Journal of the University of Petroleum China, 20:30-34 (in Chinese).

[7] Summers, D.A., 1982. The Effectiveness of Water Jet Sprays in Cleaning and the Mechanisms for Disintegration. Proceedings of the 6th International Symposium on Jet Cutting Technology, p.81-91.

[8] Taggart, D.G., Osama, I., Milton, H., 2002. Application of jetting technology to pavement deicing. Transportation Research Record, 1794:77-83.

[9] Xu, J., Summers, D.A., 1994. Experimental Evaluation of the Performance of Fan Jet Systems. Proceedings of the 12th International Symposium of Jet Cutting Technology, p.37-43.

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