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.
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Project supported by the Foundation of Shanghai Economic Commission, China
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Chen, J., Gao, Dm. Multi-objective genetic algorithm for the optimization of road surface cleaning process. J. Zhejiang Univ. - Sci. A 7, 1416–1421 (2006). https://doi.org/10.1631/jzus.2006.A1416
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DOI: https://doi.org/10.1631/jzus.2006.A1416