Computers - Artificial Life - Particle Swarm Particle Swarm Central - Mainly information and links to information about Particle Swarm Optimization. EVALife's BBase - A literature search engine on Evolutionary Computation and related topics. This search-engine contains more than 19400 references on Evolutionary Computation and related topics. Particle Swarm Optimization Resources - Mathematical analysis of Particle Swarm Optimization. Discrete, fuzzy PSO. Computelligence - computational intelligence virtual world - A virtual world of Computational Intelligence (CI), which provides a platform for CI researchers to exchange information, a warehouse for CI researchers to share resources. Swarm Intelligence - A new book talking about particle swarm optimization by J. Kennedy, R.C. Eberhart, and Y. Shi. Bibliography of Particle Swarm Optimization - An website maintained by Xiaohui Hu, including introductin,bibliography, tutorials, links to online papers 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. 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. 1998 - Matching Algorithms to Problems: An Experimental Test of the Particle Swarm... - A paper by Jame Kennedy and William Spears 1998 - Parameter Selection in Particle Swarm Optimization - A paper by Yuhui Shi and Russell C. Eberhart. 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of its best position as the environment changes, to avoid making direction and velocity decisions on the basis of outdated information. 2001 - Hybrid Particle Swarm Optimiser with Breeding and Subpopulations - a paper by Løvbjerg, M., Rasmussen, T., K. and Krink, T. 1999 - Human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. 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 1999 - A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Stability - Application of PSO on reactive power and voltage Control 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 enviromental changes. it is tested in a real-world task of controlling a simulated non-linear bioreactor. van den Bergh, Frans - PhD Student at University of Pretoria, South Africa. He is working on some enhancements to the basic Particle Swarm Optimizer Eberhart, Russell C. - One of the founders of particle swarm optimization. IEEE fellow Shi, Yuhui - Researcher in Particle swarm optimization, fuzzy logic, evolutionary computation. Fukuyama, Yoshikazu - His research interests include application of intelligent systems to power systems and power systems analysis. Some of his papers can be downloaded from the website. Kennedy, James - One of the founders of particle swarm optimization. research psychologist at bureau of labor statistics Parsopoulos, Konstantinos - Ph.D. candidate, Department of Mathematics, University of Patras, Greece. CV, Publications, particle swarm, Parsopoulos Mohan, Chilukuri - Professor at Syracuse University, research interests include evolutionary algorithms and artificial neural networks. Carlisle, Anthony J. - Associate Professor at Huntingdon College. You can download his papers at the site. Sinclair, Mark C. - researh interests include telecommunications network design, evolutionary algorithms, bbject technology, software agents. you can find a java applet that shows how pso works. Engelbrecht, Andries P. - Computational Intelligence Research Group, University of Pretoria. Research is done in theoretical aspects of PSO and developing new improved PSO models. Lascari, Eleni - Eleni Lascari's Homepage, Personal information, scientific links, publications, game theory, particle swarm, stochastic optimization, evolutionary algorithms Hu, Xiaohui - PhD student at Purdue University, research focus is biomedical data analysis and computational intelligence, especially particle swarm optimization. Xie, Xiao-Feng - Evolutionary and learning algorithms, such as genetic algorithms (GAs), particle swarm optimization (PSO), differential evolution (DE), hybrid algorithms, etc., for nonlinear programming problems and the relations to self-organization of complex systems. Abido Mohammad - Assistant Professor, Department of electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia. His research area includes Power System Analysis, Stability, and Control, Flexible AC Transmission Lines (FACTS), Power System Planning and Operation, Optimization Techniques, Evolutionary Algorithms,Neuro-Fuzzy Control and Hybrid Intelligent Systems,Reactive Power Control and Voltage Stability 2002 WCCI - Honolulu, USA. There is special session for particle swarm on 2002 Congress on Evolutionary Computation 2001 CEC - Seoul, Korea. There is a special session for particle swarm optimization 2001 PSO Workshop - Indianapolis, IN. USA. Particle swarm optimization workshop 2003 IEEE Swarm Intelligence Symposium - April 24-26, 2003, Indianapolis, IN. USA. conference information, call for papers, netmation.com | netmation.net | netmation.org | netmation.tv Copyright © 1991-2005 Netmation Inc. 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