World's Best Scientists 2026 revealed!
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Mathematics
UK
2026
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
101
Citations
36288
World Ranking
355
National Ranking
23

Mathematics

D-Index
89
Citations
25356
World Ranking
83
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Mathematics in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Mathematics in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Mathematics in United Kingdom Leader Award
  • 2020 - Fellow of the Royal Academy of Engineering (UK)

Overview

Edmund K. Burke is affiliated with Bangor University in the United Kingdom. Their research primarily focuses on engineering, with significant work in industrial and manufacturing engineering, transportation, automotive engineering, management science and operations research, and general economics, econometrics, and finance.

Their main topics of research include:

  • Vehicle Routing Optimization Methods
  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Aviation Industry Analysis and Trends
  • Scheduling and Timetabling Solutions
  • Scheduling and Optimization Algorithms
  • Air Traffic Management and Optimization

Edmund K. Burke has contributed to numerous publications across several venues. Some of the frequent publication venues include:

  • Journal of Scheduling
  • Journal of Animal Science
  • Manchester University Press eBooks
  • Transportation Research Part C Emerging Technologies
  • Computers & Operations Research

Selected recent papers authored or co-authored by Burke are:

  • "Call for transparency of COVID-19 models", 2020, Science
  • "Multi-objective routing and scheduling for airport ground movement", 2020, Transportation Research Part C Emerging Technologies
  • "A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem", 2021, Computers & Operations Research
  • "Routing and Scheduling in Multigraphs With Time Constraints-A Memetic Approach for Airport Ground Movement", 2023, IEEE Transactions on Evolutionary Computation
  • "Reducing the blocking effect in the airport slot allocation problem with seasonal flexibility", 2024, Transportation Research Part C Emerging Technologies

Frequent collaborators include Ashley K Schilling-Hazlett, Kimberly R Stackhouse-Lawson, Pedro H V Carvalho, Michal Weiszer, and David Melder.

Burke has also published book works with notable publishers such as Presses Universitaires de la Méditerranée and RAND Corporation eBooks. Their book titles include "Recherches philosophiques sur l'origine des idées que nous avons du Beau et du Sublime" (2020) and "Maintaining the Edge? The People's Liberation Army's Logistics and Maintenance Lessons Learned and Approaches Relevant for Counterintervention" (2024).

In recognition of their professional contributions, Burke was named a Fellow of the Royal Academy of Engineering (UK) in 2020.

Best Publications

  • Parallel Problem Solving from Nature - PPSN VIII

    Xin Yao;Edmund K. Burke;José A. Lozano;Jim Smith

  • Hyper-heuristics: a survey of the state of the art

    Edmund K. Burke;Michel Gendreau;Matthew R. Hyde;Graham Kendall

  • Genetic and Evolutionary Computation - GECCO 2004

    K. Deb;R. Poli;W. Banzhaf;H-G. Beyer

  • The State of the Art of Nurse Rostering

    Edmund K. Burke;Patrick De Causmaecker;Greet Vanden Berghe;Hendrik Van Landeghem

  • Hyper-Heuristics: An Emerging Direction in Modern Search Technology

    Edmund K. Burke;Graham Kendall;Jim Newall;Emma Hart

  • An orchestrated survey of methodologies for automated software test case generation

    Saswat Anand;Edmund K. Burke;Tsong Yueh Chen;John Clark

  • Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques

    Edmund K. Burke;Graham Kendall

  • A Classification of Hyper-heuristic Approaches

    Edmund K. Burke;Matthew Hyde;Graham Kendall;Gabriela Ochoa

  • A Graph-Based Hyper-Heuristic for Educational Timetabling Problems

    Edmund K. Burke;Barry McCollum;Amnon Meisels;Sanja Petrovic

  • A Tabu-Search Hyperheuristic for Timetabling and Rostering

    E. K. Burke;G. Kendall;E. Soubeiga

  • Recent research directions in automated timetabling

    Edmund Kieran Burke;Sanja Petrovic

  • A survey of search methodologies and automated system development for examination timetabling

    R. Qu;E. K. Burke;B. Mccollum;L. T. Merlot

  • A New Placement Heuristic for the Orthogonal Stock-Cutting Problem

    E. K. Burke;G. Kendall;G. Whitwell

  • A Memetic Algorithm for University Exam Timetabling

    Edmund K. Burke;James P. Newall;Rupert F. Weare

  • Diversity in genetic programming: an analysis of measures and correlation with fitness

    E.K. Burke;S. Gustafson;G. Kendall

  • Automated University Timetabling: The State of the Art

    Edmund K. Burke;Kirk Jackson;Jeffrey H. Kingston;Rupert F. Weare

  • Parallel Problem Solving from Nature - PPSN IX

    Thomas Philip Runarsson;Hans-Georg Beyer;Edmund Burke;Juan J. Merelo-Guervós

  • A multistage evolutionary algorithm for the timetable problem

    E.K. Burke;J.P. Newall

  • A Memetic Approach to the Nurse Rostering Problem

    Edmund Burke;Peter Cowling;Patrick De Causmaecker;Greet Vanden Berghe

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • Discrete Optimization A graph-based hyper-heuristic for educational timetabling problems

    Edmund K. Burke;Barry McCollum;Amnon Meisels;Sanja Petrovic

Frequent Co-Authors

Graham Kendall
Graham Kendall MILA University
Rong Qu
Rong Qu University of Nottingham
Sanja Petrovic
Sanja Petrovic University of Nottingham
Ender Özcan
Ender Özcan University of Nottingham
Gabriela Ochoa
Gabriela Ochoa University of Stirling
Jacek Blazewicz
Jacek Blazewicz Poznań University of Technology
Uwe Aickelin
Uwe Aickelin University of Melbourne
Salwani Abdullah
Salwani Abdullah National University of Malaysia
Natalio Krasnogor
Natalio Krasnogor Newcastle University

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