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Applications of UAVs and Optimal Pathfinding: A Case Study using the Migrating Birds Optimization Algorithm

Year: 2024

Type: article

Abstract: Unmanned Aerial Vehicles (UAVs) have revolutionized various industries, offering applications ranging from environmental monitoring to logistics. Optimal pathfinding for UAVs is crucial, especially in complex terrains, to ensure energy efficiency and operational effectiveness. This paper explores the advantages of UAVs, reviews different pathfinding approaches, and uses a case study of an arbitrary terrain. We demonstrate pathfinding from a source to a target without optimization and then optimize the route using the Migrating Birds Optimization (MBO) algorithm. Visual representations and comparisons are provided.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2024.v06i06.30468

Authors: Mitat Uysal -, Aynur Uysal -

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405063290

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