Osman Gökalp, “Ant Colony Optimization”, 02 Şubat 2012

Bilgisayar Mühendisliği Bölümü Semineri:

	Başlık:	Ant Colony Optimization
	Konuşmacı:	Osman Gökalp
	Tarih:	02 Şubat 2012
	Saat:	16:00-17:00
	Yer:	Bilgisayar Ağları Laboratuvarı
	Sunum Dili:	İngilizce

Ant colony optimization (ACO) is a probabilistic technique that takes inspiration from the foraging behavior of real ant species. It is a meta-heuristic approach which is formalized for NP-hard combinatorial optimization problems. Members of a colony are called artificial ants, communicate with each other indirectly by means of pheromone trails. These pheromone trails exhibit information about experience of ants’ tour on a solution domain.