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

作者: Wei Hao , Shiyin Qin

DOI: 10.1007/978-3-642-23887-1_6

关键词:

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

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