Multi-objective Path Planning for Space Exploration Robot Based on Chaos Immune Particle Swarm Optimization Algorithm

被引：0

作者：

Hao, Wei ^{[1
]}

Qin, Shiyin ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China

来源：

ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT II | 2011年 / 7003卷

关键词：

path planning; chaos; particle swarm optimization; immune network;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Multi-objective path planning for mobile robot in complex environments is a challenging issue in space exploration. In order to improve the efficiency and quality of the multi-objective path planning, a chaos immune particle swarm optimization (CIPSO) algorithm is proposed in this paper, which combines chaos and PSO with immune network theory so as to enhance the searching speed of path planning for mobile robot and insure the safety of space exploration. Simulation results show that the CIPSO has well performance for path planning and obstacle avoidance.

引用

页码：42 / 52

页数：11

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