Particle swarm optimization with dynamic neighborhood topology: Three neighborhood strategies and preliminary results

Burak Akat S., Gazi V.

2008 IEEE Swarm Intelligence Symposium, SIS 2008, St. Louis, MO, United States Of America, 21 - 23 September 2008 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/sis.2008.4668298
  • City: St. Louis, MO
  • Country: United States Of America
  • Keywords: Distance based neighborhood, Dynamic neighborhood, Particle swarm optimization, Random neighborhood
  • Yıldız Technical University Affiliated: Yes


In this article we consider a particle swarm optimization (PSO) algorithm In which the neighbors of the particles or basically the neighborhood topology dynamically changes with time. We consider probabilistic and distance based approaches for determining the neighbors of the particles and represent the dynamic neighborhood topology by a time varying graph. Simulations of several benchmark functions are performed in order to verify the effectiveness of the algorithm. ©2008 IEEE.