Particle swarm optimization (PSO), differential evolution (DE) and hybrid algorithms, for optimization problems.

Researcher at South Africa, which is working on some enhancements to the basic Particle Swarm Optimizer

His research interests include particle swarm, evolutionary computation, pattern recognition, bioinformatics and neural networks.

Researcher in Particle swarm optimization, fuzzy logic, evolutionary computation.

Ph.D., Department of Mathematics, University of Patras, Greece: Computational and Swarm Intelligence with Applications.

Professor at Syracuse University, research interests include evolutionary algorithms and artificial neural networks.

Swarm intelligence, Ant colony algorithms, Particle Swarm, Differential Evolution, Multi-agent simulation

Personal information, publications, game theory, particle swarm, stochastic optimization, evolutionary algorithms

Research focus is biomedical data analysis and computational intelligence, especially particle swarm optimization.

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.

Computational Intelligence Research Group, University of Pretoria. Research is done in theoretical aspects of PSO and developing new improved PSO models.

One of the founders of particle swarm optimization. IEEE fellow

Assistant professor, Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Includes description of his research areas.