| Comparison of self-adaptive particle swarm optimizers ET van Zyl, AP Engelbrecht 2014 IEEE symposium on swarm intelligence, 1-9, 2014 | 19 | 2014 |
| The perils of particle swarm optimization in high dimensional problem spaces ET Oldewage University of Pretoria, 2017 | 17 | 2017 |
| Movement patterns of a particle swarm in high dimensional spaces ET Oldewage, AP Engelbrecht, CW Cleghorn Information Sciences 512, 1043-1062, 2020 | 15 | 2020 |
| The merits of velocity clamping particle swarm optimisation in high dimensional spaces ET Oldewage, AP Engelbrecht, CW Cleghorn 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 14 | 2017 |
| Degrees of stochasticity in particle swarm optimization ET Oldewage, AP Engelbrecht, CW Cleghorn Swarm intelligence 13 (3), 193-215, 2019 | 13 | 2019 |
| A subspace-based method for PSO initialization ET van Zyl, AP Engelbrecht 2015 IEEE Symposium Series on Computational Intelligence, 226-233, 2015 | 10 | 2015 |
| The importance of component-wise stochasticity in particle swarm optimization ET Oldewage, AP Engelbrecht, CW Cleghorn International Conference on Swarm Intelligence, 264-276, 2018 | 8 | 2018 |
| Boundary constraint handling techniques for particle swarm optimization in high dimensional problem spaces ET Oldewage, AP Engelbrecht, CW Cleghorn International Conference on Swarm Intelligence, 333-341, 2018 | 7 | 2018 |
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
