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Makale detayı · 2022 · article

Solving Uav Path Problem Using Meta-heuristic Optimization Algorithms

YÖKSİS OpenAlex Açık erişim · diamond SJR Q4
Yıl2022
Atıf0OpenAlex
Yüzdelik%7,0
FWCI0,01,00 = dünya ortalaması
Scopus (SJR)Q4

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıInternational Journal of Mathematics and Computers in Simulation
  • Katalog eşleşmesi (ISSN)International Journal of Mathematics and Computers in Simulation (discontinued)
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex İngilizce

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].

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

0atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yazarlar

3
  1. MİTAT UYSAL 1
  2. OZAN UYSAL 2
  3. NURDANUR PEHLİVAN DOĞUŞ ÜNİVERSİTESİ 3