| Improved set-based particle swarm optimization for portfolio optimization K Erwin, A Engelbrecht 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1573-1580, 2020 | 20 | 2020 |
| Set-based particle swarm optimization for portfolio optimization K Erwin, AP Engelbrecht Swarm Intelligence: 12th International Conference, ANTS 2020, Barcelona …, 2020 | 15 | 2020 |
| Meta-heuristics for portfolio optimization K Erwin, A Engelbrecht Soft Computing 27 (24), 19045-19073, 2023 | 12 | 2023 |
| Diversity measures for set-based meta-heuristics K Erwin, A Engelbrecht 2020 7th International Conference on Soft Computing & Machine Intelligence …, 2020 | 12 | 2020 |
| Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm K Erwin, A Engelbrecht Proceedings of the genetic and evolutionary computation conference, 22-29, 2019 | 10 | 2019 |
| Multi-guide set-based particle swarm optimization for multi-objective portfolio optimization K Erwin, A Engelbrecht Algorithms 16 (2), 62, 2023 | 9 | 2023 |
| Set-based particle swarm optimization for portfolio optimization with adaptive coordinate descent weight optimization K Erwin, A Engelbrecht 2021 ieee symposium series on computational intelligence (ssci), 01-08, 2021 | 8 | 2021 |
| A tuning free approach to multi-guide particle swarm optimization K Erwin, A Engelbrecht 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 4 | 2021 |
| Meta–heuristics for Portfolio Optimization: Part I—Review of Meta–heuristics K Erwin, A Engelbrecht International Conference on Swarm Intelligence, 441-452, 2023 | 2 | 2023 |
| Meta-heuristics for Portfolio Optimization: Part II—Empirical Analysis K Erwin, A Engelbrecht International Conference on Swarm Intelligence, 453-464, 2023 | 1 | 2023 |
| Improved Hamming Diversity Measure for Set-Based Optimization Algorithms K Erwin, A Engelbrecht International Conference on Sensing and Imaging, 39-47, 2022 | 1 | 2022 |
| Set-based particle swarm optimization for portfolio optimization KH Erwin Stellenbosch: Stellenbosch University, 2021 | 1 | 2021 |
| Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge S Ikbal, U Sharma, H Karanam, S Neelam, R Luss, D Sreedhar, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 1707-1718, 2023 | | 2023 |
| Feature-Based Complexity Measure for Multinomial Classification Datasets K Erwin, A Engelbrecht Entropy 25 (7), 1000, 2023 | | 2023 |
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
