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Forschungsinteressen

Stochastische Optimierung
Heuristiken und Hyper-Heuristiken und Mathematik
Optimierung für Probleme des maschinellen Lernens
Laufzeitanalyse
Zerlegungsansätze
Stückweise lineare Regression

Veröffentlichungen

John Warwicker und Steffen Rebennack
"Efficient Continuous Piecewise Linear Regression for Linearising Univariate Non-Linear Functions"
IISE Transactions, akzeptiert
Open Access
John Warwicker und Steffen Rebennack
"Support Vector Machine within a Bivariate Mixed-Integer linear Programming Framework,
Expert Systems with Applications, 245: 122998, 2024
Issam Abdeldjalil Ikhelef, John Alasdair Warwicker, Steffen Rebennack, Mohand Yasid Saidi und Ken Chen
"Efficient Descomposition-Based Methods for Optimal VNF Placement and Chaining"
Proceedings of "2023 24th Asia-Pacific Network Operations and Management Symposium (APNOMS)", Sejong, Republic of Korea, pp. 89-94, 2023
John Warwicker und Steffen Rebennack
A Unified Framework for Bivariate Clustering and Regression Problems via Mixed-Integer Linear Programming
Discrete Applied Mathematics, 336: 15-36, 2023
John Warwicker und Steffen Rebennack
"Mixed integer programming formulations for piecewise linear functions"
Encyclopedia of Optimization, Panos M. Pardalos und Oleg A. Prokopyev (Eds.), Springer, akzeptiert
John Warwicker
"Hyper-heuristics for Combinatorial Optimisation"
Encyclopedia of Optimization, Panos M. Pardalos und Oleg A. Prokopyev (Eds.), Springer, akzeptiert
John Warwicker und Steffen Rebennack
"Univariate Continuous Piecewise Linear Regression"
Encyclopedia of Optimization, Panos M. Pardalos und Oleg A. Prokopyev (Eds.), Springer, akzeptiert
John Warwicker und Steffen Rebennack
Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers through Combinatorial Benders Decomposition
IISE Transactions 55(8): 755-767, 2023
Open Access
John Warwicker und Steffen Rebennack
A Comparison of two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting
INFORMS Journal on Computing, 34(2): 1042-1047, 2022
Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
Simple Hyper-heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes
Evolutionary Computation (Journal) pp 1-25, 2019
Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
On the Time Complexity of Algorithm Selection Hyper-heuristics for Multimodal Optimisation
AAAI Conference on Artificial Intelligence, Vol. 33, pp 2322-2329, 2019
John Alasdair Warwicker
On the Runtime Analysis of Selection Hyper-heuristics for Pseudo-Boolean Optimisation
Doctoral Thesis, University of Sheffiled
Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
On the Runtime Analysis of Selection Hyper-heuristics with Adaptive Learning Periods
Proceedings of the Genetic and Evolutionary Computation Conference, pp 1015-1022, 2018
Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker
On the Runtime Analysis of Generalised Selection Hyper-heuristics for Pseudo-Boolean Optimisation
Proceedings of the Genetic and Evolutionary Computation Conference, pp 849-856, 2017

NEWS

Dr. John Warwicker ist Mitglied des Organisationskomitees des MathSee Symposium 2023

Vorträge

Oktober 2023 International Conference on Operations Research - OR 2023
Support Vector Machines within a Bivariate Mixed-Integer Linear Programming Framework
Juli 2023 German SIAM Student Chapters Meet Algorithmic Optimization
A Unified Frmework for Bivariate Clustering and Regression Problms via Mixed-Integer Linear Programming
Oktober 2022 International Conference on Operations Research - OR 2022
Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers Through Combinatorial Benders Decompositon

Projektförderung

Programm Gaspard Monge: (GPMO) IROE
Decomposition Methods for the Non-LInear Optimal Power Flow Problem
MathSEE Funding for Promotion of Interdisciplinary Mathematical Research
Theoretical and Empirical Analysis of Matheuristics

Links

Google Scholar Profile

Lebenslauf (Kurzfassung)

seit 06/19	Wissenschaftlicher Mitarbeiter am Institut für Operations Research (IOR), Lehrstuhl für stochastische Optimierung
11/18-05/19	Wissenschaftlicher Mitarbeiter an der University of Sheffield
10/15-10/18	PhD an der University of Sheffield. Titel der Dissertation: "On the Runtime Analysis of Selection Hyper-heuristics for Pseudo-Boolean Optimisation". Betreuer: Dr. Pietro S. Oliveto
10/11-07/15	Mathematics an der Loughborough University. Abschluss: MMath (Master of Mathematics).

Lebenslauf ausführlich

Bisherige Veranstaltungen
Titel	Typ	Semester
Power Systems Optimization, Bachelor	Seminar	SS 2020
Power Systems Optimization, Bachelor	Seminar	WS 20/21
Power Systems Optimization, Bachelor	Seminar	SS 2021
Power Systems Optimization, Bachelor	Seminar	SS 2022
Power Systems Optimization, Bachelor	Seminar	WS 19/20
Power Systems Optimization, Master	Seminar	SS 2020
Power Systems Optimization, Master	Seminar	WS 20/21
Power Systems Optimization, Master	Seminar	SS 2021
Power Systems Optimization, Master	Seminar	SS 2022
Power Systems Optimization, Master	Seminar	WS 19/20
Recent Topics in Optimization, Bachelor	Seminar	SS 2020
Recent Topics in Optimization, Bachelor	Seminar	SS 2021
Recent Topics in Optimization, Bachelor	Seminar	SS 2022
Recent Topics in Optimization, Master	Seminar	SS 2020
Recent Topics in Optimization, Master	Seminar	SS 2021
Recent Topics in Optimization, Master	Seminar	SS 2022
Stochastic Optimization, Bachelor	Seminar	WS 20/21
Stochastic Optimization, Bachelor	Seminar	WS 19/20
Stochastic Optimization, Master	Seminar	WS 20/21
Stochastic Optimization, Master	Seminar	WS 19/20

Dr. John Alasdair Warwicker

Sprechzeiten

Forschungsinteressen

Veröffentlichungen

NEWS

Vorträge

Projektförderung

Links

Lebenslauf (Kurzfassung)