1. Evaluación de Estrategias Metaheurísticas en la Planificación de Rutas para Robots.
- Author
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Hernández, Dizahab Sehuveret, Muñoz, Jorge A. García, and Gutiérrez, Alejandro I. Barranco
- Subjects
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METAHEURISTIC algorithms , *ANT algorithms , *MOBILE robots , *ROBOTIC path planning , *ROBUST optimization , *AUTONOMOUS vehicles , *COMPARATIVE studies , *GENETIC algorithms - Abstract
Autonomous Ground Vehicles play a vital role in various industries, necessitating efficient route planning for mission success without human intervention. This study examines two metaheuristic optimization approaches, Genetic Algorithms and Ant Colony Optimization, within the context of route planning for these robotic entities. The comprehensive methodology utilizes the designs of these metaheuristic methods, and a comparative analysis is conducted through simulated experiments in diverse environments. Thefindings unveil that Genetic Algorithms excel in simple terrains; while Ant Colony Optimization demonstrates robust exploration capabilities in complex environments with obstacles and additional constraints. This underscores the importance of selecting the appropriate metaheuristic based on specific mission requirements and environmental conditions. The research furnishes insights to designers and operators, enabling informed decisions in route planning strategy selection, thereby enhancing the efficiency and safety of autonomous robotic operations across various scenarios. [ABSTRACT FROM AUTHOR]
- Published
- 2024