Learning Obstacle-Avoiding Lattice Paths using Swarm Heuristics: Exploring the Bijection to Ordered Trees

V. Parque
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Abstract

Lattice paths are functional entities that model efficient navigation in discrete/grid maps. This paper presents a new scheme to generate collision-free lattice paths with utmost efficiency using the bijective property to rooted ordered trees, rendering a one-dimensional search problem. Our computational studies using ten state-of-the-art and relevant nature-inspired swarm heuristics in navigation scenarios with obstacles with convex and non-convex geometry show the practical feasibility and efficiency in rendering collision-free lattice paths. We believe our scheme may find use in devising fast algorithms for planning and combinatorial optimization in discrete maps.
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用群启发式学习避障格路径:探索有序树的双射
点阵路径是在离散/网格地图中模拟有效导航的功能实体。本文利用有根有序树的双目标特性,提出了一种高效生成无碰撞点阵路径的新方案,解决了一维搜索问题。我们在具有凸和非凸几何障碍物的导航场景中使用了十种最先进的和相关的自然启发的群体启发式计算研究,显示了绘制无碰撞点阵路径的实际可行性和效率。我们相信我们的方案可以在设计离散映射规划和组合优化的快速算法中找到用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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