Animal Food Chain Based Particle Swarm Optimization


Altay A., Kayakutlu G.

World Congress on Engineering (WCE 2011), London, Canada, 6 - 08 July 2011, pp.1094-1099 identifier

  • Publication Type: Conference Paper / Full Text
  • City: London
  • Country: Canada
  • Page Numbers: pp.1094-1099

Abstract

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.