| Directory > Computers > Artificial Life > Particle Swarm > Papers 2003 - Swarm intelligence for permutation optimization: a case study on n-queens problem
PSO is modified to deal with permutation set
http://web.ics.purdue.edu/~hux/cgi-bin/download.cgi?SIS2003Permutation.pdf
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2003 - Engineering optimization with particle swarm
PSO is used to solve engineering problems with multiple non-linear constraints.
http://web.ics.purdue.edu/~hux/cgi-bin/download.cgi?SIS2003Engineering.pdf
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2003 - Particle swarm with extended memory for multiobjective optimization
multiobjective optimization with PSO
http://web.ics.purdue.edu/~hux/cgi-bin/download.cgi?SIS2003Multiobjective.pdf
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2002 - Adaptive Control Utilising Neural Swarming
PSO is used to adjust the network weights, with the Adaptive Neural Swarming method, the controller
could adapt to environmental changes. It is tested in a real-world task of controlling a simulated
non-linear bioreactor.
http://www.chemeng.sun.ac.za/Content/gecco2002.pdf
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1999 - A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Stability
Application of PSO on reactive power and voltage Control
http://homepage2.nifty.com/fukuyama-yoshikazu/Isap99%20PSO-VQC.PDF
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2001 - Practical Distribution State Estimation Using Hybrid Particle Swarm Optimization
A hybrid PSO is proposed by introduction of the natural seleciton mechanism. the authers
demonstrated hybrid PSO is better than original version on dis tribution state estimation
problems
http://homepage2.nifty.com/fukuyama-yoshikazu/HPSODSE%20fukuyama.PDF
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1999 - Human Tremor Analysis using Particle Swarm Optimization
A paper by R. Eberhart and X. Hu. PSO is used to train artificial neural network to classify tremor
patients from normal subjects.
http://icdweb.cc.purdue.edu/~hux/cgi-bin/download.cgi?CEC1999Human.pdf
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2001 - Hybrid Particle Swarm Optimiser with Breeding and Subpopulations
a paper by Løvbjerg, M., Rasmussen, T., K. and Krink, T.
http://www.evalife.dk/publications/GECCO2001_PSO_with_breeding.pdf
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2000 - Adapting Particle Swarm Optimization to Dynamic Environments
In this paper the authors propose a method for adapting the particle swarm optimizer for dynamic
environments. The process consists of causing each particle to reset its record of its best
position as the environment changes, to avoid making direction and velocity decisions on the basis
of outdated information.
http://antho.huntingdon.edu/publications/Adapting_PSO_to_Dynamic_Env.pdf
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1998 - Parameter Selection in Particle Swarm Optimization
A paper by Yuhui Shi and Russell C. Eberhart.
http://www.engr.iupui.edu/~shi/PSO/Paper/EP98/psof6/ep98_pso.html
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1998 - Matching Algorithms to Problems: An Experimental Test of the Particle Swarm...
A paper by Jame Kennedy and William Spears
http://citeseer.nj.nec.com/kennedy98matching.html
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1995 - Particle Swarm Optimization
A concept for the optimization of nonlinear functions using particle swarm methodology by James
Kennedy & Russell Eberhart. This is the first paper talking about PSO.
http://www.engr.iupui.edu/~shi/Coference/psopap4.html
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2000 - Cooperative Learning in Neural Networks using Particle Swarm Optimizers
A paper by Frans van den Bergh and Andries P. Engelbrecht, South Africa. The interesting point is
that they split the input vectors to several sub-vectors, each which is optimized cooperatively in
its own swarm.
http://citeseer.nj.nec.com/vandenbergh00cooperative.html
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