On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation. - Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (GECCO, 2017)

On the runtime analysis of selection hyper-heuristics with adaptive learning periods. - Benjamin Doerr; Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (GECCO, 2018)

Hyper-heuristics Can Achieve Optimal Performance for Pseudo-Boolean Optimisation. - Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (CoRR, 2018)

On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. - Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (AAAI, 2019)

On the runtime analysis of selection hyper-heuristics for pseudo-Boolean optimisation. - John Alasdair Warwicker (2019)

How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. - Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (AAAI, 2020)

Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes*. - Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (Evol. Comput., 2020)

A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting. - John Alasdair Warwicker; Steffen Rebennack (INFORMS J. Comput., 2022)

Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining. - Issam Abdeldjalil Ikhelef; John Alasdair Warwicker; Steffen Rebennack; Mohand Yazid Saidi; Ken Chen (APNOMS, 2023)

When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not. - Andrei Lissovoi; Pietro S. Oliveto; John Alasdair Warwicker (Artif. Intell., 2023)

A unified framework for bivariate clustering and regression problems via mixed-integer linear programming. - John Alasdair Warwicker; Steffen Rebennack (Discret. Appl. Math., 2023)

A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation. - Paul Fischer; John Alasdair Warwicker; Carsten Witt (GECCO, 2024)

Support vector machines within a bivariate mixed-integer linear programming framework. - John Alasdair Warwicker; Steffen Rebennack (Expert Syst. Appl., 2024)

Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation. - Yuxuan Ma 001; Pietro S. Oliveto; John Alasdair Warwicker (GECCO, 2025)