Computer Science ›› 2010, Vol. 37 ›› Issue (5): 171-174.
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ZHOU Jing,DAI Guan-zhong,CAI Xiao-yan
Online:
Published:
Abstract: The purpose of this paper is to construct active, adaptive ant agents by bottom-up modeling ideas of CAS theory and rely on the cooperation between them to complete the task of global path planning of autonomous mobile robot based on ant colony system when using visibility graph as a route map. hhe ant-agent evolving in the environment incessandy has its own internal structure and behavior rules. Multiple ant agents gathered into an artificial ant colony, communicated inside in the way of stimergy by pheromone, consecauently emerged the swarm intelligence of path planning.
Key words: Ant colony system, Complex adaptive system, Global path planning, Mobile robot
ZHOU Jing,DAI Guan-zhong,CAI Xiao-yan. Research and Simulating of Global Optimal Path Planning of Mobile Robot Based on Ant Colony System[J].Computer Science, 2010, 37(5): 171-174.
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