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ROBIO
2006
IEEE
208views Robotics» more  ROBIO 2006»
15 years 3 months ago
Stiffness Optimization of a 3-DOF Parallel Kinematic Machine Using Particle Swarm Optimization
Abstract— In this paper, the architectural parameters optimization of a three-prismatic-universal-universal (3-PUU) parallel kinematic machine (PKM) with three translational degr...
Qingsong Xu, Yangmin Li
78
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CEC
2008
IEEE
15 years 4 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
15 years 1 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
85
Voted
HIS
2009
14 years 7 months ago
On Some Properties of the lbest Topology in Particle Swarm Optimization
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...
ISNN
2010
Springer
14 years 8 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He