Solving Uav Path Problem Using Meta-heuristic Optimization Algorithms

Autor: Mitat Uysal, Ozan Uysal, Nurdanur Pehlivan
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Mathematics and Computers in Simulation. 16:98-102
ISSN: 1998-0159
DOI: 10.46300/9102.2022.16.15
Popis: In this study, the path planning problem for UAVs has been investigated. Out goal was finding a method to go from the source to the target point in the shortest time and the shortest route. A mathematical programming model that takes into account the environmental safety conditions has been developed and solved with the MBO algorithm. MBO algorithm [2] gives better results than simulated annealing, tabu search, genetic algorithm, scatter search, particle swarm optimization, differential evolution and guided evolutionary simulated annealing approaches, as stated in a previous study [2].
Databáze: OpenAIRE