A generalized theoretical deterministic particle swarm model CW Cleghorn, AP Engelbrecht Swarm intelligence 8, 35-59, 2014 | 109 | 2014 |
Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption CW Cleghorn, AP Engelbrecht Swarm Intelligence 12, 1-22, 2018 | 90 | 2018 |
Particle swarm convergence: An empirical investigation CW Cleghorn, AP Engelbrecht 2014 IEEE Congress on Evolutionary Computation (CEC), 2524-2530, 2014 | 73 | 2014 |
Particle swarm variants: standardized convergence analysis CW Cleghorn, AP Engelbrecht Swarm Intelligence 9, 177-203, 2015 | 66 | 2015 |
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 | 35 | 2017 |
Particle Swarm Optimizer: The Impact of Unstable Particles on Performance CW Cleghorn, AP Engelbrecht Computational Intelligence, 2016 IEEE Symposium Series on, 2016 | 35 | 2016 |
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 | 33 | 2019 |
Particle swarm convergence: Standardized analysis and topological influence CW Cleghorn, AP Engelbrecht International Conference on Swarm Intelligence, 134-145, 2014 | 33 | 2014 |
Critical considerations on angle modulated particle swarm optimisers BJ Leonard, AP Engelbrecht, CW Cleghorn Swarm Intelligence 9, 291-314, 2015 | 31 | 2015 |
Movement patterns of a particle swarm in high dimensional spaces ET Oldewage, AP Engelbrecht, CW Cleghorn Information Sciences 512, 1043-1062, 2020 | 27 | 2020 |
Fully informed particle swarm optimizer: Convergence analysis CW Cleghorn, AP Engelbrecht Evolutionary Computation (CEC), 2015 IEEE Congress on, 164-170, 2015 | 27 | 2015 |
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization MU Nasir, S Earle, J Togelius, S James, C Cleghorn Proceedings of the Genetic and Evolutionary Computation Conference, 1110-1118, 2024 | 24 | 2024 |
Particle swarm optimization: stability analysis using n-informers under arbitrary coefficient distributions CW Cleghorn, B Stapelberg Swarm and Evolutionary Computation 71, 101060, 2022 | 17 | 2022 |
Degrees of stochasticity in particle swarm optimization ET Oldewage, AP Engelbrecht, CW Cleghorn Swarm intelligence 13, 193-215, 2019 | 15 | 2019 |
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels M Beukman, CW Cleghorn, S James Proceedings of the Genetic and Evolutionary Computation Conference, 1028–1037, 2022 | 14 | 2022 |
Fitness-distance-ratio particle swarm optimization: stability analysis CW Cleghorn, AP Engelbrecht Proceedings of the genetic and evolutionary computation conference, 12-18, 2017 | 14 | 2017 |
Understanding parameter spaces using local optima networks: a case study on particle swarm optimization CW Cleghorn, G Ochoa Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 13 | 2021 |
Boundary constraint handling techniques for particle swarm optimization in high dimensional problem spaces ET Oldewage, AP Engelbrecht, CW Cleghorn Swarm Intelligence: 11th International Conference, ANTS 2018, Rome, Italy …, 2018 | 13 | 2018 |
Recent advances in particle swarm optimization analysis and understanding AP Engelbrecht, CW Cleghorn Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 11 | 2020 |
Particle swarm optimization: Understanding order-2 stability guarantees CW Cleghorn Applications of Evolutionary Computation: 22nd International Conference …, 2019 | 11 | 2019 |