John Alasdair Warwicker

Orcid: 0000-0002-6274-2638

According to our database1, John Alasdair Warwicker authored at least 13 papers between 2017 and 2024.

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Bibliography

2024
Support vector machines within a bivariate mixed-integer linear programming framework.
Expert Syst. Appl., 2024

A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
A unified framework for bivariate clustering and regression problems via mixed-integer linear programming.
Discret. Appl. Math., September, 2023

When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not.
Artif. Intell., 2023

Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022
A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting.
INFORMS J. Comput., 2022

2020
Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes<sup>*</sup>.
Evol. Comput., 2020

How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On the runtime analysis of selection hyper-heuristics for pseudo-Boolean optimisation.
PhD thesis, 2019

On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Hyper-heuristics Can Achieve Optimal Performance for Pseudo-Boolean Optimisation.
CoRR, 2018

On the runtime analysis of selection hyper-heuristics with adaptive learning periods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017


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