Matthew Woolway
Imperial College London
H-index: 9
Europe-United Kingdom
Top articles of Matthew Woolway
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Surrogate-assisted hyper-parameter search for portfolio optimisation: multi-period considerations | Neural Computing and Applications | Terence L van Zyl Matthew Woolway Andrew Paskaramoorthy | 2023/11/22 |
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system | Liezl Stander Matthew Woolway Terence L Van Zyl | 2022/5/18 | |
Pareto Driven Surrogate (Par Den-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations | Authorea Preprints | Terence van Zyl Matthew Woolway Andrew Paskaramoorthy | 2023/10/30 |
Unit-Based Genetic Algorithmic Approach for Optimal Multipurpose Batch Plant Scheduling | Terence L van Zyl Matthew Woolway | 2023/11/29 | |
An investigation of IBM quantum computing device performance on combinatorial optimisation problems | Neural Computing and Applications | Maxine T Khumalo Hazel A Chieza Krupa Prag Matthew Woolway | 2022/6/23 |
Toward data-driven optimal control: A systematic review of the landscape | Krupa Prag Matthew Woolway Turgay Celik | 2022/3/21 | |
Transfer learning and deep metric learning for automated galaxy morphology representation | IEEE access | Mohamed Zayyan Variawa Terence L Van Zyl Matthew Woolway | 2022/2/10 |
An Empirical evaluation of sensitivity bounds for mean-variance portfolio optimisation | Finance Research Letters | Andrew Paskaramoorthy Matthew Woolway | 2022/1/1 |
Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem | arXiv preprint arXiv:2210.17149 | Mohamed Z Variawa Terence L Van Zyl Matthew Woolway | 2022/10/31 |
Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations | arXiv preprint arXiv:2209.13528 | Terence L van Zyl Matthew Woolway Andrew Paskaramoorthy | 2022/9/13 |
Data-driven model predictive control of DC-to-DC buck-boost converter | IEEE Access | Krupa Prag Matthew Woolway Turgay Celik | 2021/7/19 |
Parden: Surrogate assisted hyper-parameter optimisation for portfolio selection | Terence L van Zyl Matthew Woolway Andrew Paskaramoorthy | 2021/11/26 | |
Data-driven evolutionary optimisation for the design parameters of a chemical process: A case study | Liezl Stander Matthew Woolway Terence L van Zyl | 2020/7/6 | |
Unique animal identification using deep transfer learning for data fusion in siamese networks | Terence L Van Zyl Matthew Woolway Bryce Engelbrecht | 2020/7/6 | |
Extended surrogate assisted continuous process optimisation | L Stander M Woolway TL van Zyl | 2020/11/14 | |
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 | 2020/7/6 | |
Makespan minimisation for multipurpose batch plants using metaheuristic approaches | TL van Zyl M Woolway | 2020/11/14 | |
Numerical Convergence Analysis of the Frank–Kamenetskii Equation | Entropy | Matthew Woolway Byron A Jacobs Ebrahim Momoniat Charis Harley Dieter Britz | 2020/1/9 |
On the computational performance of IBM quantum devices applied to combinatorial optimisation problems | Hazel A Chieza Maxine T Khumalo Krupa Prag Matthew Woolway | 2020/11/14 | |
Comparing generalisation using crowd-sourced vs expert labels for galaxies classification | Mohamed Z Variawa Terence L van Zyl Matthew Woolway | 2020/11/14 |
Co-Authors
