Categories related to Computers: Artificial Life: Particle Swarm: People: Computers: Artificial Life: People (13) Websites on People: Abido, Mohammad Assistant professor, Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Includes description of his research areas. Carlisle, Anthony J. Professor at Huntingdon College. Applying the PSO to Non-Stationary Environments. Eberhart, Russell C. One of the founders of particle swarm optimization. IEEE fellow Engelbrecht, Andries P. Computational Intelligence Research Group, University of Pretoria. Research is done in theoretical aspects of PSO and developing new improved PSO models. 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. Hu, Xiaohui Research focus is biomedical data analysis and computational intelligence, especially particle swarm optimization. Lascari, Eleni Personal information, publications, game theory, particle swarm, stochastic optimization, evolutionary algorithms Li, Xiaodong Swarm intelligence, Ant colony algorithms, Particle Swarm, Differential Evolution, Multi-agent simulation Mohan, Chilukuri K. Professor at Syracuse University, research interests include evolutionary algorithms and artificial neural networks. Parsopoulos, Konstantinos Ph.D., Department of Mathematics, University of Patras, Greece: Computational and Swarm Intelligence with Applications. Shi, Yuhui Researcher in Particle swarm optimization, fuzzy logic, evolutionary computation. 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. Suganthan, P. N. His research interests include particle swarm, evolutionary computation, pattern recognition, bioinformatics and neural networks. van den Bergh, Frans Researcher at South Africa, which is working on some enhancements to the basic Particle Swarm Optimizer Xie, Xiao-Feng Particle swarm optimization (PSO), differential evolution (DE) and hybrid algorithms, for optimization problems.
|
|