The Ant Algorithm for Solving Robot Path Planning Problem

Gengqian Liu, Tiejun Li, Yuqing Peng, Xiangdan Hou
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引用次数: 65

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
求解机器人路径规划问题的蚁群算法
利用蚁群算法研究了二维环境下机器人的路径规划问题。介绍了蚁群智能寻优机制。它解决了局部优化的缺点,加快了搜索速度。建立了数学模型,并用VB语言实现了算法,结果表明该算法是有效的,具有较强的鲁棒性和可扩展性
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