The reliability of weight optimised steel portal frames by Stolk, Willem

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Development of a dynamic path planning system for autonomous mobile robots in a flexible manufacturing system by Fourie, Bradley

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Development of a ray tracer for concentrating solar power systems by Bode, Sebastian-James

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Adding multi-objective optimisation capability to an electricity utility energy flow simulator by Brits, Ryno Ockert

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Cooperative target following and collision avoidance for multiple unmanned aerial vehicles by Ubbink, Johan Bernard

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A comparative study on the value of accounting for possible relationships between decision variables when solving multi-objective problems by Scholtz, Esmarie

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Autonomous robot path planning by Crous, C. B.

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A heuristic approach to the deterministic and stochastic air crew pairing problem by Masipa, Lehlohonolo

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Creation, optimization and verification of a three dimensional numerical model to simulate a dragline bucket during the digging cycle using modern DEM software by Dymond, Graeme Francois Dryden

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Energy Planning Model Design for Forecasting the Final Energy Consumption using Artificial Neural Networks by Eissa, Haidy

“…Furthermore, in this thesis, we use the Bayesian optimization algorithm to search for the optimal network hyperparameters. …”
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Intelligent optimisation of deep drawing process parameters in the production of aluminium non-rotational symmetric monolithic components by Sarema, Blessed

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Critical analysis of angle modulated particle swarm optimisers

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AI Stock-Screening Methodology for Portfolio Construction by Khater, Omar Ahmed

“…The developed model employed genetic algorithms to optimize the selection of screening rules from among a set of widely accepted fundamental indicators. …”
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A hyperheuristic approach towards the training of artificial neural networks by Nel, Gerrit Stephanus

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On the maximum degree chromatic number of a graph by Nieuwoudt, Isabelle

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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to pred... by Khobo, Isaac

“…Poorer and better cognitive performance categories were identified with a hierarchical clustering algorithm. Regression performance was assessed via 10-fold CV errors, coefficient of determination (R2), and Pearson's r between predicted and actual values. …”
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Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter by Stadler, Johan George

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Traffic Engineering using Multipath Routing Approaches by Mazandu, Gaston Kuzamunu

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The application of the cross-entropy method for multi-objective optimisation to combinatorial problems by Hauman, Charlotte

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Reduced order modeling techniques for mesh movement as applied to fluid structure interactions

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