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Alasdair Warwicker

Dr. John Alasdair Warwicker

Research associate
Room: 134
Phone: +49 721 608-47589
Fax: +49 721 608-46057
john warwickerKlu3∂kit edu

Geb. 09.21



Office hours

By appointment

Research interests

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

Publications

  • 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

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

Current teaching
Title Type Semester
seminar WS 19/20
seminar WS 19/20
seminar WS 19/20
seminar WS 19/20