Alasdair Warwicker alasdair_warwicker

Dr. John Alasdair Warwicker

  • Geb. 09.21

Office hours

By appointment

Research interests

  • Stochastic Optimisation
  • Heuristics and Hyper-heuristics
  • Runtime Analysis

Publications

  • John Warwicker and Steffen Rebennack
    A Unified Framework for Bivariate Clustering and Regression Problems via Mixed-Integer Linear Programming Discrete Applied Mathematics, accepted
     
  • John Warwicker and Steffen Rebennack
    "Mixed integer programming formulations for piecewise linear functions"
    Encyclopedia of Optimization, Panos M. Pardalos and Oleg A. Prokopyev (Eds.), Springer, accepted
     
  • John Warwicker
    "Hyper-heuristics for Combinatorial Optimisation"
    Encyclopedia of Optimization, Panos M. Pardalos and Oleg A. Prokopyev (Eds.), Springer, accepted
     
  • John Warwicker and Steffen Rebennack
    "Univariate Continuous Piecewise Linear Regression"
    Encyclopedia of Optimization, Panos M. Pardalos und Oleg A. Prokopyev (Eds.), Springer, accepted
     
  • John Warwicker and Steffen Rebennack
    Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers through Combinatorial Benders Decomposition
    IISE Transactions, accepted
      Open Access   
     
  • John Warwicker and 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

 

Links

Google Scholar Profile

Curriculum vitae (short version)

since 06/19 Research Associate at the Institute of Operations Research (IOR), Chair of Stochastic Optimization
11/18-05/19 Research Assistant at University of Sheffield
10/15-10/18 PhD at University of Sheffield. Thesis title: "On the Runtime Analysis of Selection Hyper-heuristics for Pseudo-Boolean Optimisation". Supervisor: Dr. Pietro S. Oliveto
10/11-07/15 Mathematics at Loughborough University. Degree: MMath (Master of Mathematics)

 Curriculum vitae detailed