Path Planning Based on Double-Layer Genetic Algorithm

Jin Lu, Dongyong Yang
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引用次数: 19

Abstract

It is a more difficult problem to plan path in environment which with both static obstacles and dynamic obstacles. Double-layer genetic algorithm mechanism is brought up in this paper. It introduces the method which deals with static obstacles avoidance and dynamic avoidance respectively. Optimized operator and adaptive technology are designed to speed up creating optimized path. The result of experimentation is show that multifactor could be taken into account synthetically and the best path could be convergent by this way.
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基于双层遗传算法的路径规划
在既有静态障碍物又有动态障碍物的环境中进行路径规划是一个比较困难的问题。本文提出了双层遗传算法机制。介绍了静态避障和动态避障的处理方法。设计了优化算子和自适应技术,加快了优化路径的生成速度。实验结果表明,该方法能综合考虑多因素,并能收敛出最佳路径。
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