Modified Particle Swarm Optimization with student T mutation (STPSO)

Author

Imran, Muhammad ; Manzoor, Z. ; Ali, Shady ; Abbas, Q.

Author_Institution

Dept. of Comput. & Technol., Iqra Univ., Islamabad, Pakistan

fYear

2011

fDate

11-13 July 2011

Firstpage

283

Lastpage

286

Abstract

Particle Swarm Optimization (PSO) is a recognized algorithm for optimization problems, but suffers from premature convergence. To prevent PSO from stagnation in local minima we are going to introduce a novel mutation operator. The proposed mutation operator is based on the student T distribution. The experiment performed on standard benchmark functions represent that proposed variant improves the performance of PSO.

Keywords

particle swarm optimisation; modified particle swarm optimization; mutation operator; premature convergence; student T mutation; Conferences; Optimization; Modified PSO; PSO; PSO with student T distribution; STPSO; Student T distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Networks and Information Technology (ICCNIT), 2011 International Conference on

Conference_Location

Abbottabad

ISSN

2223-6317

Print_ISBN

978-1-61284-940-9

Type

conf

DOI

10.1109/ICCNIT.2011.6020944

Filename

6020944

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3326520