An Improved Genetic Algorithm for Mobile Robotic Path Planning

被引：0
|
作者：
Zhou Yongnian [1 ]
Zheng Lifang [1 ]
Li Yongping [1 ]
机构：
[1] Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201204, Peoples R China
来源：
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词：
Mobile Robot; Path Planning; Rough Set; Genetic Algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Proposed an improved genetic algorithm based on rough sets reduction theory, optimized the genetic operators, and overcame the weakness of the traditional genetic algorithm, such as huge number of initial population and slow velocity of optimization and convergence. The experiments both in simple and complex environment have been carried on. The simulation result indicated that the method can reduce the scale of the population, minimize the searching scope, and improve the velocity of the convergence and optimization for the mobile robotic path planning.
引用
收藏
页码：3255 / 3260
页数：6
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