Path planning based on double-layer genetic algorithm

被引：0

作者：

Lu, Jin ^{[1
]}

Yang, Dongyong ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Software Coll, Hangzhou 310023, Zhejiang, Peoples R China

来源：

ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS | 2007年

关键词：

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：

It is a more difficult problem to plan path in environment which with both static obstacles and dynamic obstacles. Double-layer genetic algorithm mechanism is brought up in this paper It introduces the method which deals with static obstacles avoidance and dynamic avoidance respectively. Optimized operator and adaptive technology are designed to speed up creating optimized path. The result of experimentation is show that multifactor could be taken into account synthetically and the best path could be convergent by this way.

引用

页码：357 / +

页数：2

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