Parçacık Sürü Optimizasyon Tabanlı Mobil Robotlarda Global Yol Planlama
Öz
Anahtar Kelimeler
Kaynakça
- [1]R.Poli, “Analysisof the publications on the applications of particle swarm optimization”,Hindawi Publishing Corporation Journal of Artificial Evolution and Applications, 2008.
- [2]A. Chatterjee,K. Pulasinghe, K. Watanabe, K. Izumi, “A particle-swarm-optimized fuzzy-neural network forvoice controlled robot systems”,IEEE Transactions on Industrial Electronics, 52(6):1478–1489, 2005.
- [3]B.Deepak, D.R. Parhi, “PSO based path planner of an autonomous mobile robot”,Cent. Eur. J. Comp. Sci. 2(2):152-168, 2012.
- [4]Y.Zhang, D. Gong, J. Zhang, “Robot path planning in uncertain environment using multi-objective particle swarm optimization”. Neuro computing103: 172–185, 2013.
- [5]Y. Tang, Q. Li, L. Wang, C. Zhang, Y. Yin, “An improved pso for path planning of mobile robots and its parameters discussion”, Intelligent Control and Information Processing, Dalian, China, 2010.
- [6]L.Wang, Y. Liu, H. Deng, Y. Xu, “Obstacle-avoidance path planning for soccer robots using particle swarm optimization”, Robotics and Biomimetics, Kunming, China, 2006.
- [7]M. Saska, M. Macas, L. Preucil, L. Lhotska, Robot path planning using particle swarm optimization of ferguson splines. Emerging Technologies and Factory Automation, 2006.
- [8]A. Z. Nasrollahy, H. H. S. Javadi, “Using particle swarm optimization for robot path planning in dynamic environments with moving obstacles and target”. Sim European Symposium on Computer Modeling and Simulation.2009.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Yapay Zeka
Bölüm
Araştırma Makalesi
Yazarlar
Zeynep Garip
*
Bu kişi benim
Türkiye
Durmuş Karayel
Bu kişi benim
Türkiye
Murat Erhan Çimen
Bu kişi benim
Türkiye
Yayımlanma Tarihi
23 Haziran 2021
Gönderilme Tarihi
25 Mayıs 2021
Kabul Tarihi
31 Mayıs 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 2 Sayı: 1