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» On convergence of multi-objective Particle Swarm Optimizers
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ESCIENCE
2006
IEEE
14 years 5 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...
EMO
2009
Springer
181views Optimization» more  EMO 2009»
14 years 3 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...
ISCI
2007
104views more  ISCI 2007»
13 years 10 months ago
Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients
Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay,...
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 4 months ago
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization
Abstract. Particle Swarm Optimization is gaining momentum as a simple and effective optimization technique. We present a new approach to PSO that significantly reduces the number...
Christopher K. Monson, Kevin D. Seppi
IAT
2008
IEEE
14 years 5 months ago
An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms
The discrete particle swarm optimization (DPSO) is a kind of particle swarm optimization (PSO) algorithm to find optimal solutions for discrete problems. This paper proposes an i...
Yiheng Xu, Qiangwei Wang, Jinglu Hu