A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization

• Main Authors: Nasir, Md., Das, Swagatam., Maity, Dipankar., Sengupta, Soumyadip., Halder, Udit., Suganthan, P. N.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/85065; http://hdl.handle.net/10220/13556
• Institution: Nanyang Technological University

The concept of particle swarms originated from the simulation of the social behavior commonly observed in animal kingdom and evolved into a very simple but efficient technique for optimization in recent past. Since its advent in 1995, the Particle Swarm Optimization (PSO) algorithm has attracted the...