Modeling of Spaza shop operations using soft and hard operational research techniques by Sabwa, Jean-Marie

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Assessing GridSim for modeling the global distribution of next-generation astronomy data by Tunbridge, James K

“…The implementation of the proposed design for an ECOFEN model extension in GridSim is a project for future work after one unsuccessful attempt to implement the model in GridSim. …”
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Investigating performance improvements in wireless networks using probabilistic graphical models by Pretorius, William Sivert Rorich

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Geometallurgical modelling of manganese ore comminution behaviour at the kalahari manganese field. by Mathebula, Ivan Pardon

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Optimal production planning and scheduling, case study: Guinness Ghana Brewery Limited, Kumasi by Derkye, Adom

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Optimal reliability-based design of bulk water supply infrastructure-incorporating pumping systems by Papathanasiou, Michael

“…This was seen as necessary owing to the vast spectrum of influences and the interrelation of parameters that constitute a bulk water supply system. A model developed by Chang & van Zyl (2012) sought to address this inefficiency by optimizing a bulk water supply system, with the core objectives of cost and reliability. …”
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Optimal asset allocation for South African pension funds under the revised Regulation 28 by Koegelenberg, Frederik Johannes

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Ontleding en optimering van die logistieke stelsel van 'n ondergrondse steenkoolmyn by Esterhuysen, Daniel George

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Development of titanium alloys for laser powder bed fusion with the use of d-optimal design by Barnard, Christoffel Jacobus

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Optimizing COVID-19 control measures using multi-objective deep reinforcement learning by Folarin, Arinze Lawrence

“…The results of two case studies, one using a Pareto conditioned network on COVID-19 data from Belgium and the other using a Deep Q-Network, Goal-DQN, and Non-dominated Sorting Genetic Algorithm (NSGA-II) on COVID-19 data from France, are evaluated using both binomial (Stochastic) and Ordinary Differen- tial Equation mathematical models. The study highlights the potential of multi-objective deep reinforcement learning as a method of optimizing public health interventions by shedding light on the optimum COVID-19 control methods for various scenarios and models. …”
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LABCAT: locally adaptive Bayesian optimization using principal-component-aligned trust regions by Visser, Emile

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Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff

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Optimal approach to energy management and gas delivery of a compressed natural gas station

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Time series forecasting using dynamic particle swarm optimizer trained neural networks

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Optimal loan portfolio (A case study of Atweaban Rural Bank, Duayaw Nkwanta) by Kwarteng, Ernest

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An approach to multi-objective life cycle cost optimization of wind turbine tower structures by Horsthemke, Hagen Wolfgang

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Optimal governance of and stakeholder involvement in a medicines regulatory authority to enable pharmaceutical innovation

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A pharmacometric approach to optimal use of second line drugs for multidrug-resistant tuberculosis by Court, Richard Gray

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Optimizing dental implant performance through selective laser melting (SLM) design and manufacturing by Wafula, Jacob Nyongesa

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Sparse coding for speech recognition

Subjects: “…Mathematical optimization…”
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