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The Ant Algorithm for Solving Robot Path Planning Problem

Gengqian Liu, Tiejun Li, Yuqing Peng, Xiangdan Hou

Year
2005
Citations
58

Abstract

Using ant algorithm, robot path planning in two-dimension environment is studied. It introduces the intelligent finding optimum mechanism of ant colony. It solves the drawback of local optimization and expedites searching speed. The mathematical model is established and the algorithm is achieved with VB language, the result shows it is valid with the capability of robust and extensibility

Keywords

Ant colony optimization algorithmsMotion planningComputer scienceRobotPath (computing)Dimension (graph theory)Mathematical optimizationArtificial intelligenceAnt colonyAlgorithm

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