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EMO
2009
Springer
181views Optimization» more  EMO 2009»
13 years 9 months ago
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
Particle Swarm Optimization (PSO) has received increased attention in the optimization research community since its first appearance. Regarding multi-objective optimization, a con...
Juan José Durillo, José Garcí...
ESCIENCE
2006
IEEE
13 years 10 months ago
Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...
David Ireland, Andrew Lewis, Sanaz Mostaghim, Junw...
ISCI
2007
104views more  ISCI 2007»
13 years 4 months ago
Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients
Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay,...
ICPR
2008
IEEE
13 years 11 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
CEC
2008
IEEE
13 years 11 months ago
Geometric PSO + GP = Particle Swarm Programming
—Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both conti...
Julian Togelius, Renzo De Nardi, Alberto Moraglio