Tabu araştırma algoritması için yeni bir model

1996-06-04
Karaboğa, Derviş
Kalınlı, Adem
The First Turkish Symposium on Intelligent Manufacturing Systems (1 - 04 Haziran 1996)

Suggestions

Tabu Araştırma Algoritması Kullanarak Adaptif IIR Filtre Tasarımı
Kalınlı, Adem; Karaboğa, Nurhan (null; 2001-04-04)
Anticipation in collective motion of robot swarms
Boz, İhsan Caner; Turgut, Ali Emre; Huepe, Cristián; Department of Mechanical Engineering (2021-12)
Recent technological advancements made the implementation of swarms of UAVs possible. As they face more complex situations each day, collective motion models rise in importance. In this thesis, a collective motion model for self-propelled agents with anticipative action is given. It is shown that using anticipated positions in the attraction-repulsion mechanism brings a new interaction term that depends on velocities. The noise-induced order-disorder phase transition of this model is compared with two other...
A Probabilistic geometric model of self-organized aggregation in swarm robotic systems
Bayındır, Levent; Şahin, Erol; Department of Computer Engineering (2012)
Self-organized aggregation is the global level gathering of randomly placed robots using local sensing. Developing high performance and scalable aggregation behaviors for a swarm of mobile robots is non-trivial and still in need, when robots control themselves, perceive only a small part of the arena, and do not have access to information such as their position, the size of the arena or the number of robots. In this thesis, we developed a non-spatial probabilistic geometric model for self-organized aggregat...
Sürü Robotbilimi ve Çok-Erkinli Sistemlerdeki Koordinasyon Problemleri
Şamiloğlu, Andaç Töre; Gazi, Veysel; Koku, Ahmet Buğra (null; 2006-11-08)
Ölü/canlı kopepod oranları : Mersin körfezinde mevsimlik değişimleri
Beşiktepe, Şengül; Zenginer Yılmaz, Arife(2007-07-15)
Citation Formats
D. Karaboğa and A. Kalınlı, “Tabu araştırma algoritması için yeni bir model,” Sakarya, Türkiye, 1996, p. 168, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83365.