Papers

1. 2000 - Adapting Particle Swarm Optimization to Dynamic Environments  (site info) 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of its best position as the environment changes, to avoid making direction and velocity decisions on the basis of outdated information.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_... 2. 2002 - Adaptive Control Utilising Neural Swarming  (site info) 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 3. 1998 - Matching Algorithms to Problems: An Experimental Test of the Particle Swarm...  (site info) A paper by Jame Kennedy and William Spears http://citeseer.nj.nec.com/kennedy98matching.html 4. 2000 - Cooperative Learning in Neural Networks using Particle Swarm Optimizers  (site info) 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/vandenbergh00cooperativ... 5. 1995 - Particle Swarm Optimization  (site info) 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.h... 1-5 of 13. Next »