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MICAI
2005
Springer
14 years 1 months ago
Hybrid Particle Swarm - Evolutionary Algorithm for Search and Optimization
Particle Swarm Optimization (PSO) technique has proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have b...
Crina Grosan, Ajith Abraham, Sangyong Han, Alexand...
CVPR
2008
IEEE
14 years 10 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
CEC
2008
IEEE
13 years 9 months ago
Automated solution selection in multi-objective optimisation
This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multiobjectiv...
Andrew Lewis, David Ireland
CEC
2010
IEEE
13 years 8 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
13 years 11 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye