Mathematical Modeling and Optimal Blank Generation in Glass Manufacturing. - Raymond Phillips; Matthew Woolway; Dario Fanucchi; M. Montaz Ali (J. Appl. Math., 2014)

On the application of a metaheuristic suite with parallel implementations for the scheduling of multipurpose batch plants. - Matthew Woolway; Thokozani Majozi (Comput. Chem. Eng., 2019)

Data-Driven Evolutionary Optimisation for the design parameters of a Chemical Process: A Case Study. - Liezl Stander; Matthew Woolway; Terence L. van Zyl (FUSION, 2020)

A rules-based and Transfer Learning approach for deriving the Hubble type of a galaxy from the Galaxy Zoo data. - Mohamed Zayyan Variawa; Terence L. van Zyl; Matthew Woolway (FUSION, 2020)

Unique Animal Identification using Deep Transfer Learning For Data Fusion in Siamese Networks. - Terence L. van Zyl; Matthew Woolway; Bryce Engelbrecht (FUSION, 2020)

Numerical Convergence Analysis of the Frank-Kamenetskii Equation. - Matthew Woolway; Byron A. Jacobs; Ebrahim Momoniat; Charis Harley; Dieter Britz (Entropy, 2020)

ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection. - Terence L. van Zyl; Matthew Woolway; Andrew Paskaramoorthy (ISCMI, 2021)

Data-Driven Model Predictive Control of DC-to-DC Buck-Boost Converter. - Krupa Prag; Matthew Woolway; Turgay Çelik 001 (IEEE Access, 2021)

Toward Data-Driven Optimal Control: A Systematic Review of the Landscape. - Krupa Prag; Matthew Woolway; Turgay Çelik 001 (IEEE Access, 2022)

Transfer Learning and Deep Metric Learning for Automated Galaxy Morphology Representation. - Mohamed Zayyan Variawa; Terence L. van Zyl; Matthew Woolway (IEEE Access, 2022)

Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations. - Terence L. van Zyl; Matthew Woolway; Andrew Paskaramoorthy (CoRR, 2022)

Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem. - Mohamed Zayyan Variawa; Terence L. van Zyl; Matthew Woolway (CoRR, 2022)

Telematics in Insurance: Challenges and Limitations. - Jing Qi; Matthew Woolway; Maria Kyropoulou; Panagiotis Kanellopoulos; David Steele (IEEE Access, 2025)

An investigation of IBM quantum computing device performance on combinatorial optimisation problems. - Maxine T. Khumalo; Hazel A. Chieza; Krupa Prag; Matthew Woolway (Neural Comput. Appl., 2025)

Surrogate-assisted evolutionary multi-objective optimisation applied to a pressure swing adsorption system. - Liezl Stander; Matthew Woolway; Terence L. van Zyl (Neural Comput. Appl., 2025)

Surrogate-assisted hyper-parameter search for portfolio optimisation: multi-period considerations. - Terence L. van Zyl; Matthew Woolway; Andrew Paskaramoorthy (Neural Comput. Appl., 2025)