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  1. Set-based particle swarm optimization for portfolio optimization by Erwin, Kyle Harper

    Published 2021
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  2. Mixtures of heterogeneous experts by Omomule, Taiwo Gabriel

    Published 2022
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  3. Incremental reinforcement learning for portfolio optimisation by Refiloe, Shabe

    Published 2023
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  4. A deep learning system for x-ray analysis and patient diagnosis by Faure, James

    Published 2023
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  5. Particle swarm optimization for constrained multimodal function optimization by Strelitz, Benjamin Steenveld

    Published 2024
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  6. Landscape analysis-based automated algorithm selection by Lang, Ryan Dieter

    Published 2024
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  7. Characterizing the complexity of tabular machine learning classification problems by Erwin, Kyle Harper

    Published 2025
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  8. Time series forecasting using neural networks without recurrent connections by Masunungure, Takudzwa Trevor

    Published 2025
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  9. Metaheuristic search behaviour characterisation by Hayward, Lauren P.

    Published 2025
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  10. Optimisation of digital radiography using multi-objective particle swarm optimisation by Nshimirimana, Robert Bellarmin

    Published 2026
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  11. A Comparative Study of Nature Inspired Algorithms for Prioritized Foraging by Lee, Jin Ree

    Published 2026
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    Thesis