Animal Food Chain Based Particle Swarm Optimization

Altay A., Kayakutlu G.

World Congress on Engineering (WCE 2011), London, Kanada, 6 - 08 Temmuz 2011, ss.1094-1099 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: London
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.1094-1099
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Particle Swarm Optimization has been an appealing research area for researchers for over 15 years. During these years, a variety of algorithms have been developed around the particle swarm concept. One of these variations is Predator-Prey Particle Swarm Optimization algorithm which is also based on natural swarms which have a hierarchical relationship. Hunting search has also become a new meta-heuristic originating from hunting structure of species. In this paper, a new Particle Swarm Optimization Algorithm has been developed. Animal Food Chain Based Particle Swarm Optimization Algorithm simulates the animal food chain structure in three swarms: omnivores, carnivores and herbivores, in order to balance exploration and exploitation.