计算机工程与应用2012，Vol.48Issue(11)：152-155,200,5.DOI:10.3778/j.issn.1002-8331.2012.11.033
自适应遗传算法的改进及在曲线化简中的应用
Improvement of adaptive genetic algorithms and application in line simplification
摘要
Abstract
Fixed genetic probabilities easily cause the premature and slow convergence problem. Improvement of current adaptive genetic algorithm is proposed to avoid that. Through the experiments of optimization for common test functions, this improved algorithm shows its better global optimal ability and faster convergence ability. Based on this, this improved algorithm is applied in line simplification. Simulation results show that it can maintain the overall shape, and can get better simplification results.关键词
自适应遗传算法/改进/曲线化简Key words
adaptive genetic algorithm/ improvement/ line simplification分类
信息技术与安全科学引用本文复制引用
任海艳,陈飞翔..自适应遗传算法的改进及在曲线化简中的应用[J].计算机工程与应用,2012,48(11):152-155,200,5.基金项目
中央高校基本科研业务费专项资金资助项目(No.BLYX200929) （No.BLYX200929）
林业公益性行业科研专项(No.200904003-6). （No.200904003-6）
