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» A New Approach to Improve Particle Swarm Optimization
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
ICONIP
2004
14 years 11 months ago
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a...
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Sugantha...
ICDAR
2009
IEEE
15 years 4 months ago
A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization
This paper presents a novel approach for skew correction of documents. Skew correction is modelled as an optimization problem, and for the first time, Particle Swarm Optimization...
Javad Sadri, Mohamed Cheriet
ESCIENCE
2006
IEEE
15 years 3 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...
HIS
2009
14 years 7 months ago
Probability Diffused Particle Swarm Optimization
Premature convergence is a major problem of Particle Swarm Optimization (PSO).Although many strategies have been proposed, there is still some work needed to do in high-dimensional...
Qiuyan Qin, Zhihua Cui, Jianchao Zeng