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

被引：0
|
作者：
CHEN Jie
机构：
来源：
Journal of Zhejiang University-Science A(Applied Physics & Engineering) | 2006年 / 08期
关键词：
Optimization; Waterjets; Road surface cleaning; Genetic algorithm; Multi-objective;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 con-sumption, 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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页码：1416 / 1421
页数：6
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