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A memetic algorithm based procedure for a global path planning of a movement constrained mobile robot

机译:基于模因算法的运动受限移动机器人全局路径规划过程

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In this work we present a general memetic algorithm for solving a major robotic task, a Global Path Planning (GPP). It consists in finding a path (way) on an a-priori given map from a starting to a destination point. We are concerned with the solution of such a GPP problem for which a robot that has a non-holonomic kinematic structure and some movement constraints. A set of planning rules has been proposed together with a corresponding genotype improvement and repair methods. The presented numerical results presented confirm that the memetic algorithms can be a very promising tool for solving the Global Path Planning (GPP) problem.
机译:在这项工作中,我们提出了一种用于解决主要机器人任务的通用模因算法,即全局路径规划(GPP)。它包括在先验给定地图上找到从起点到目的地的路径(路径)。我们关注这种GPP问题的解决方案,对于该问题,机器人具有非完整的运动学结构和一些运动约束。已经提出了一套计划规则以及相应的基因型改良和修复方法。提出的数值结果证实了模因算法可以作为解决全局路径规划(GPP)问题的非常有前途的工具。

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