| A generalized theoretical deterministic particle swarm model CW Cleghorn, AP Engelbrecht Swarm intelligence 8 (1), 35-59, 2014 | 94 | 2014 |
| Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption CW Cleghorn, AP Engelbrecht Swarm Intelligence 12 (1), 1-22, 2018 | 68 | 2018 |
| Particle swarm variants: standardized convergence analysis CW Cleghorn, AP Engelbrecht Swarm Intelligence 9 (2), 177-203, 2015 | 62 | 2015 |
| Particle swarm convergence: An empirical investigation CW Cleghorn, AP Engelbrecht 2014 IEEE Congress on Evolutionary Computation (CEC), 2524-2530, 2014 | 57 | 2014 |
| Particle Swarm Optimizer: The Impact of Unstable Particles on Performance CW Cleghorn, AP Engelbrecht Computational Intelligence, 2016 IEEE Symposium Series on, 2016 | 30 | 2016 |
| Particle swarm convergence: Standardized analysis and topological influence CW Cleghorn, AP Engelbrecht International Conference on Swarm Intelligence, 134-145, 2014 | 28 | 2014 |
| Fully informed particle swarm optimizer: Convergence analysis CW Cleghorn, AP Engelbrecht Evolutionary Computation (CEC), 2015 IEEE Congress on, 164-170, 2015 | 24 | 2015 |
| Critical considerations on angle modulated particle swarm optimisers BJ Leonard, AP Engelbrecht, CW Cleghorn Swarm Intelligence 9 (4), 291-314, 2015 | 23 | 2015 |
| Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis C Scheepers, AP Engelbrecht, CW Cleghorn Swarm Intelligence 13 (3), 245-276, 2019 | 17 | 2019 |
| Movement patterns of a particle swarm in high dimensional spaces ET Oldewage, AP Engelbrecht, CW Cleghorn Information Sciences 512, 1043-1062, 2020 | 14 | 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 | 13 | 2017 |
| Degrees of stochasticity in particle swarm optimization ET Oldewage, AP Engelbrecht, CW Cleghorn Swarm intelligence 13 (3), 193-215, 2019 | 12 | 2019 |
| Particle swarm optimization: Understanding order-2 stability guarantees CW Cleghorn International Conference on the Applications of Evolutionary Computation …, 2019 | 11 | 2019 |
| Unified particle swarm optimizer: Convergence analysis CW Cleghorn, AP Engelbrecht Evolutionary Computation (CEC), 2016 IEEE Congress on, 447-454, 2016 | 9 | 2016 |
| 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 |
| Recent advances in particle swarm optimization analysis and understanding AP Engelbrecht, CW Cleghorn Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 7 | 2020 |
| 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 |
| Fitness-distance-ratio particle swarm optimization: stability analysis CW Cleghorn, AP Engelbrecht Proceedings of the genetic and evolutionary computation conference, 12-18, 2017 | 6 | 2017 |
| Firefly Optimization: A Study on Frame Invariance CW Cleghorn, AP Engelbrecht IEEE Symposium Series on Computational Intelligence, 2017 | 6 | 2017 |
| Stability analysis of the multi-objective multi-guided particle swarm optimizer CW Cleghorn, C Scheepers, AP Engelbrecht International Conference on Swarm Intelligence, 201-212, 2018 | 5 | 2018 |
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
