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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (8 ): 16-    DOI: 10.1631/jzus.2006.A1416
    
Multi-objective genetic algorithm for the optimization of road surface cleaning process
CHEN Jie, GAO Dao-ming
Auto-body Manufacturing Center, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
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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.

Key words： Optimization      Waterjets      Road surface cleaning      Genetic algorithm      Multi-objective     
Received: 10 August 2005     
CLC:  O359  
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CHEN Jie
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Cite this article:

CHEN Jie, GAO Dao-ming. Multi-objective genetic algorithm for the optimization of road surface cleaning process. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(8 ): 16-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A1416     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I8 /16

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