Opposition based Particle Swarm Optimization with student T mutation (OSTPSO)
Particle swarm optimization (PSO) is a stochastic algorithm, used for the optimization problems, proposed by Kennedy [1] in 1995. PSO is a recognized algorithm for optimization problems, but suffers from premature convergence. This paper presents an Opposition-based PSO (OPSO) to accelerate the conv...
Published in: | Conference on Data Mining and Optimization |
---|---|
Main Author: | Imran M.; Hashim R.; Khalid N.E.A. |
Format: | Conference paper |
Language: | English |
Published: |
2012
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869433380&doi=10.1109%2fDMO.2012.6329802&partnerID=40&md5=af0013c69589f5e4eb7c0369ad890918 |
Similar Items
-
Laplace Mutated Particle Swarm Optimization (LMPSO)
by: Imran M.; Hashim R.; Khalid N.E.A.
Published: (2014) -
An overview of particle swarm optimization variants
by: Imran M.; Hashim R.; Khalid N.E.A.
Published: (2013) -
Stochastic optimized relevance feedback particle swarm optimization for content based image retrieval
by: Imran M.; Hashim R.; Noor Elaiza A.K.; Irtaza A.
Published: (2014) -
Discrete Mutative Particle Swarm Optimisation of MFCC computation for classifying hypothyroidal infant cry
by: Zabidi A.; Mansor W.; Khuan L.Y.; Yassin I.M.; Sahak R.
Published: (2010) -
Effect of swarm size parameter on Binary Particle Swarm optimization-based NARX structure selection
by: Yassin I.M.; Taib M.N.; Adnan R.; Salleh M.K.M.; Hamzah M.K.
Published: (2012)