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ORCIDJohn Alasdair Warwicker
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2020 – today
- 2024
[j5]John Alasdair Warwicker
, Steffen Rebennack:
Support vector machines within a bivariate mixed-integer linear programming framework. Expert Syst. Appl. 245: 122998 (2024)- [c6]Paul Fischer, John Alasdair Warwicker, Carsten Witt:
A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation. GECCO 2024 - 2023
- [j4]Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not. Artif. Intell. 314: 103804 (2023) - [j3]John Alasdair Warwicker, Steffen Rebennack:
A unified framework for bivariate clustering and regression problems via mixed-integer linear programming. Discret. Appl. Math. 336: 15-36 (2023) - [c5]Issam Abdeldjalil Ikhelef, John Alasdair Warwicker, Steffen Rebennack, Mohand Yazid Saidi, Ken Chen:
Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining. APNOMS 2023: 89-94 - 2022
- [j2]John Alasdair Warwicker, Steffen Rebennack:
A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting. INFORMS J. Comput. 34(2): 1042-1047 (2022) - 2020
- [j1]Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes*. Evol. Comput. 28(3): 437-461 (2020) - [c4]Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. AAAI 2020: 2376-2383
2010 – 2019
- 2019
- [b1]John Alasdair Warwicker:
On the runtime analysis of selection hyper-heuristics for pseudo-Boolean optimisation. University of Sheffield, UK, 2019 - [c3]Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. AAAI 2019: 2322-2329 - 2018
- [c2]Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
On the runtime analysis of selection hyper-heuristics with adaptive learning periods. GECCO 2018: 1015-1022 - [i1]Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
Hyper-heuristics Can Achieve Optimal Performance for Pseudo-Boolean Optimisation. CoRR abs/1801.07546 (2018) - 2017
- [c1]Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation. GECCO 2017: 849-856
Coauthor Index
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last updated on 2024-07-20 21:17 CEST by the dblp team
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