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1. 1995 - Particle Swarm Optimization [ Report dead link ]

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

2. 1998 - Matching Algorithms to Problems: An Experimental Test of the Particle Swarm... [ Report dead link ]

A paper by Jame Kennedy and William Spears

http://citeseer.ist.psu.edu/kennedy98matching.html

3. 1998 - Parameter Selection in Particle Swarm Optimization [ Report dead link ]

A paper by Yuhui Shi and Russell C. Eberhart.

http://www.engr.iupui.edu/~shi/PSO/Paper/EP98/psof6/ep98_pso.html

4. 1999 - A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Stability [ Report dead link ]

Application of PSO on reactive power and voltage Control

http://homepage2.nifty.com/fukuyama-yoshikazu/Isap99%20PSO-VQC.PDF

5. 1999 - Human Tremor Analysis using Particle Swarm Optimization [ Report dead link ]

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

6. 2000 - Adapting Particle Swarm Optimization to Dynamic Environments [ Report dead link ]

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of its best position as the environment changes, to avoid making direction and velocity decisions on the basis of outdated information.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

7. 2000 - Cooperative Learning in Neural Networks using Particle Swarm Optimizers [ Report dead link ]

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.ist.psu.edu/vandenbergh00cooperative.html

8. 2001 - Hybrid Particle Swarm Optimiser with Breeding and Subpopulations [ Report dead link ]

a paper by Løvbjerg, M., Rasmussen, T., K. and Krink, T.

http://www.evalife.dk/publications/ML_GECCO2001_PSO_with_breeding.pdf

9. 2001 - Practical Distribution State Estimation Using Hybrid Particle Swarm Optimization [ Report dead link ]

A hybrid PSO is proposed by introduction of the natural selection mechanism. The authors demonstrated hybrid PSO is better than original version on distribution state estimation problems.

http://homepage2.nifty.com/fukuyama-yoshikazu/HPSODSE%20fukuyama.PDF

10. 2002 - Adaptive Control Utilising Neural Swarming [ Report dead link ]

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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