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1995 - Particle Swarm Optimization
A concept for the optimization of nonlinear functions using particle swarm methodology by James Kennedy and Russell Eberhart. This is the first paper talking about PSO.
http://www.engr.iupui.edu/~shi/Coference/psopap4.html
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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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2001 - Practical Distribution State Estimation Using Hybrid Particle Swarm Optimization
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 fukuyama.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 PSO-VQC.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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2003 - Swarm intelligence for permutation optimization: a case study on n-queens problem
PSO is modified to deal with permutation set.
http://www.swarmintelligence.org/papers/SIS2003Permutation.pdf
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2003 - Particle swarm with extended memory for multiobjective optimization
multiobjective optimization with PSO.
http://www.swarmintelligence.org/papers/SIS2003Multiobjective.pdf
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2003 - Engineering optimization with particle swarm
PSO is used to solve engineering problems with multiple non-linear constraints.
http://www.swarmintelligence.org/papers/SIS2003Engineering.pdf
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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://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.7972
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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://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.4265
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