- 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. - Research 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
- Abido, Mohammad - Assistant professor, Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia. Includes description of his research areas.
- Hu, Xiaohui - Research focus is biomedical data analysis and computational intelligence, especially particle swarm optimization.
- Xie, Xiao-Feng - Evolutionary and swarm algorithms, such as genetic algorithms (GAs), particle swarm optimization (PSO), differential evolution (DE), hybrid algorithms, for optimization problems.
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