Title
Learning Obstacle-Avoiding Lattice Paths using Swarm Heuristics: Exploring the Bijection to Ordered Trees
Date Issued
01 January 2022
Access level
open access
Resource Type
conference paper
Author(s)
Waseda University
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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.
Language
English
OCDE Knowledge area
Estadísticas, Probabilidad Matemáticas aplicadas
Scopus EID
2-s2.0-85138710268
ISBN of the container
9781665467087
Conference
2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
Sources of information: Directorio de Producción Científica Scopus