Implementation of Swarm Intelligence Algorithms for Path Planning

Autor:	Ajay Paul, Akshay Rojan, Alex T Mathew, Amith Thomas
Rok vydání:	2021
Předmět:	History Computer science business.industry MathematicsofComputing_NUMERICALANALYSIS Motion planning Artificial intelligence business ComputingMethodologies_ARTIFICIALINTELLIGENCE Swarm intelligence Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1831:012008
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1831/1/012008
Popis:	The ability to navigate through an unknown terrain is an essential metric in evaluating the performance of multi-robot systems. With the use of swarm intelligence algorithms like Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), even robots with limited capability can perform this task. In this paper, we implement ACO and PSO to solve the path planning problem, and we also compare their efficiencies in different environments. This paper also implements a new hybrid algorithm that utilizes both ACO and PSO for more efficient path planning.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::40d900d9b3dfba31554b61904270cd82 https://doi.org/10.1088/1742-6596/1831/1/012008 Zobrazit plný text záznamu