Path planning based on dynamic multi-swarm particle swarm optimizer with crossover

Authors:
Jane-Jing Liang;Hui Song;Bo-Yang Qu;Xiao-Bo Mao
Affiliations:
School of Electrical Engineering, Zhengzhou Univerisity, Zhengzhou, China;School of Electrical Engineering, Zhengzhou Univerisity, Zhengzhou, China;School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China;School of Electrical Engineering, Zhengzhou Univerisity, Zhengzhou, China
Venue:
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Year:
2012

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Abstract

Path planning is an important technique to realize robot navigation. In this paper, through using Bezier curves, it is transfermed into an optimization problem. An improved dynamic multi-swarm particle swarm optimizer with cross operator is proposed to do this task. Through a set of experiments on four predefined path planning problems, the proposed algorithm proves its effectiveness on this kind of problems.