John Alasdair Warwicker

14 papers A* 2A 4C 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation. GECCO Yuxuan Ma, Pietro S. Oliveto, John Alasdair Warwicker
2024	A	`conf`	A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation. GECCO Paul Fischer, John Alasdair Warwicker, Carsten Witt
2024	J	`jnl`	Support vector machines within a bivariate mixed-integer linear programming framework. Expert Syst. Appl. John Alasdair Warwicker, Steffen Rebennack
2023	J	`jnl`	A unified framework for bivariate clustering and regression problems via mixed-integer linear programming. Discret. Appl. Math. John Alasdair Warwicker, Steffen Rebennack
2023	C	`conf`	Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining. APNOMS Issam Abdeldjalil Ikhelef, John Alasdair Warwicker, Steffen Rebennack, Mohand Yazid Saidi, Ken Chen
2023	J	`jnl`	When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not. Artif. Intell. Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
2022	J	`jnl`	A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting. INFORMS J. Comput. John Alasdair Warwicker, Steffen Rebennack
2020	A*	`conf`	How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. AAAI Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
2020	J	`jnl`	Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes Evol. Comput. Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
2019	A*	`conf`	On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. AAAI Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
2019	—	`—`	On the runtime analysis of selection hyper-heuristics for pseudo-Boolean optimisation. John Alasdair Warwicker
2018	J	`jnl`	Hyper-heuristics Can Achieve Optimal Performance for Pseudo-Boolean Optimisation. CoRR Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
2018	A	`conf`	On the runtime analysis of selection hyper-heuristics with adaptive learning periods. GECCO Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
2017	A	`conf`	On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation. GECCO Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker