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

被引：2

作者：

Chen J. ^{[1
]}

Gao D.-M. ^{[1
]}

机构：

[1] Auto-body Manufacturing Center, School of Mechanical Engineering, Shanghai Jiaotong University

来源：

Journal of Zhejiang University-SCIENCE A | 2006年 / 7卷 / 8期

关键词：

Genetic algorithm; Multi-objective; Optimization; Road surface cleaning; Waterjets;

D O I：

10.1631/jzus.2006.A1416

中图分类号：

学科分类号：

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 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.

引用

页码：1416 / 1421

页数：5

共 9 条

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