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» Parameter approximate dynamic optimization for PSO systems
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IJCSA
2007
110views more  IJCSA 2007»
13 years 4 months ago
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari
IJCNN
2006
IEEE
13 years 11 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
CVPR
2008
IEEE
14 years 7 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 ...
IJCNN
2006
IEEE
13 years 11 months ago
Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO
—Static Var Compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines....
Tridib K. Das, Sandhya R. Jetti, Ganesh K. Venayag...
SASO
2008
IEEE
13 years 11 months ago
Evaporation as a Self-Adaptation Mechanism for PSO
This work extends the Particle Swarm Optimization (PSO) algorithm for working on dynamic environments. We propose an evaporation mechanism to solve the outdated memory problem. We...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...