Eco-driving applications to freight trains

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The impact of behavioural diversity in the evolution of multi-agent systems robust to dynamic environments by Hallauer, Scott

“…Thus, we introduce a comparative study of behavioural diversity maintenance methods (based on the MAP-Elites algorithm) versus those without behavioural diversity mechanisms (based on the steady-state genetic algorithm), as a means to evolve suitable degrees of behavioural diversity over increasingly difficult collective behaviour tasks. …”
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Mining continuous classes using evolutionary computing

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Direction finding of long term evolution enabled handsets for monitoring applications

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Multi-fidelity parameter tuning of parallel Monte-Carlo tree search variants by Mouton, Alexander

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Aggregated service consolidation by multi-server virtualization by Nkubito, Phillip Uwizeye

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Combinatorial evolution of feedforward neural network models for chemical processes by Schmitz, Gregor Peter Josef

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2D irregular strip packing at Kohler signs by Bossenger, Wayne

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Cooperative collision avoidance for unmanned aerial vehicles by Mphogo, Dinorego

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Modelling and Tracking of the Global Maximum Power Point in Shaded Solar PV Systems Using Computational Intelligence by Sagonda, Arnold Farai

“…The simulation results of the complete PV system show that PSO and Firefly algorithm provided the best results under all weather conditions compared to other algorithms. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Viability of UAV-based antenna pattern measurements by Kriel, Scott Graham Hilton

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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. …”
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Stall prevention control of fixed-wing unmanned aerial vehicles by Basson, Matthys Michaelse

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Generalized time-frequency representations and their application to quantum control by Smit, Andre Marius

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Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

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Mitigation of control errors in quantum annealing by Dlamini, Thembelihle Rose

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Optimising the Optimiser: Meta NeuroEvolution for Artificial Intelligence Problems by Hayes, Max Nieuwoudt

“…Since reinforcement learning algorithms have to fully solve a task in order to evaluate a set of hyperparameter values, conventional hyperparameter tuning methods can be highly sample inefficient and computationally expensive. …”
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Ancestry-independent osteometric sex estimation from selected postcranial skeletal elements of South Africans: a machine learning approach by Scott, Michelle

“…Estimation techniques using postcranial elements in SA almost exclusively utilise discriminant analysis to evaluate sex, but international publications have shown success using alternative machine learning (ML) algorithms. …”
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