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Multi-objective path planning for space exploration robot based on chaos immune particle swarm optimization algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 7003 LNAI(PART 2) 42-52
DOI: 10.1007/978-3-642-23887-1_6
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Abstract

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. © 2011 Springer-Verlag.

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Hao, W., & Qin, S. (2011). Multi-objective path planning for space exploration robot based on chaos immune particle swarm optimization algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7003 LNAI, pp. 42–52). https://doi.org/10.1007/978-3-642-23887-1_6

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