Fitness Landscape Analysis for the Differential Evolution Algorithm by Saad, Amani Dhumad

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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…This is in contrast with other heuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) that require other control parameters (i.e. …”
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

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Diagnostics for joint models for longitudinal and survival data by Singini, Isaac Luwinga

“…We first developed influence diagnostics for the shared parameter joint model for longitudinal and survival data based on Cook's statistics. …”
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Decentralized algorithm of dynamic task allocation for a swarm of homogeneous robots by AlShawi, Maha

“…Thus, the contributions of the proposed hybrid DPSO/SA algorithm involve possessing both the pros of high quality solution in SA and the fast convergence time capability in PSO. Also, a parameters' selection process for the hybrid algorithm is proposed as a further contribution in an attempt to enhance the algorithm efficiency because the heuristic optimization techniques are very sensitive to any parameter changes. …”
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Volumetric modulated Arc Therapy versus 3D conformal radiotherapy in the treatment of locally advanced cervical cancer. A single institution, comparative dosimetric study by Bhagaloo, Visham

“…Aim: To compare dosimetric parameters between VMAT and 3D-CRT in the management of LACC. …”
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Inverse modelling and optimisation in numerical groundwater flow models using proportional orthogonal decomposition by Wise, John Nathaniel

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The development of hybrid quantum classical computational methods for carbohydrate and hypervalent phosphoric systems by Govender, Krishna Kuben

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Numerical evaluation (FEA) of end stop impact forces for a crane fitted with hydraulic buffers by Idowu,Ifeolu Mobolaji

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Spatial variation, bias and experimental design in agronomic field trials: a case study of a farming systems trial in the Western Cape province, South Africa by Osborne, Devin Guy

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Crushing and screening models for simulation

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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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Assessment of the capabilities of two polar sPC-SAFT terms through application to measured ketone-alkane phase equilibria data by Cripwell, Jamie Theo

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Deep Calibration of Option Pricing Models by Dadah, Sahil

“…This is followed by applying the pre-trained model in a calibration procedure to fit the model parameters to a set of market observables. The neural networks are trained using simulated data and an optimum set of hyperparameters is obtained via the Bayesian optimization. …”
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Exploring managed aquifer recharge as a nature-based solution to water diversification in the Goukou River catchment by De Witt, Marlene

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Data modelling & Bayesian model comparison with spherically symmetric priors by Jamodien, Riyaadh

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Genetic Programming Approach for Nonstationary Data Analytics

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The prediction of the emission spectra of flares and solid propellant rockets by Barnard, Paul Werner

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Level Dependence in Volatility in Linear-Rational Term Structure Models by Ramnarayan, Kalind

“…Parameters are estimated using an unscented Kalman filter in conjunction with quasi-maximum likelihood. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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