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模糊罚函数遗传算法及其在曲线光顺中的应用
Genetic Algorithm with Fuzzy Penalty Function and Its Application in Curve Smoothing
【摘要】 基于遗传算法中处理约束条件使用的传统罚函数方法效果并不理想 ,文中提出了一种处理约束优化问题的模糊罚函数遗传算法 ,并将这种方法用于计算机辅助图形设计中的扫描光栅曲线的光顺问题 ,得到了很好的效果
【Abstract】 Because genetic algorithm is a stochastic searching method,there are somewhatlarge difference in dealing with constraint conditions between the genetic algorithm and the traditional methods,and the traditional methodsare notsuited forthe integration with thegeneticalgorithm. In thispaper,a fuzzy the- ory was used to deal with the constraintconditionsand a new method—— fuzzy penalty function genetic al- gorithm was presented.This method was used in curve smoothing of computer aided graphic design,and the effect was proved very good.
【关键词】 遗传算法;
模糊理论;
惩罚函数;
曲线光顺;
【Key words】 genetic algorithm; fuzzy theory; penalty function; curving smoothing;
【Key words】 genetic algorithm; fuzzy theory; penalty function; curving smoothing;
- 【文献出处】 上海交通大学学报 ,JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY , 编辑部邮箱 ,2000年10期
- 【分类号】TP18
- 【被引频次】11
- 【下载频次】130