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Institute of Applied Data Science

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Dr John Woodward

John Woodward

Senior Lecturer and Head of Operational Research Group

Department School of Electronic Engineering and Computer Science
 Mile End Rd, London E1 4NS
+44 20 7882 5813

www.eecs.qmul.ac.uk/~jwoodward/

Research

Hyper-Heuristics, Evolutionary Algorithms, Search Based Software Engineering, Genetic Programming, Operations Research

Interests

My research interests include: Hyper-Heuristics, Evolutionary, Algorithms, Heuristics, Metaheuristics, Search Based Software Engineering, Genetic Algorithms, Genetic Programming, Machine Learning, Optimization and Operations Research.

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Publications

Publications of specific relevance to Applied Data Science

2019

Burke EK, Hyde MR, Kendall G, Ochoa G, Özcan E and Woodward JR (2019). A classification of hyper-heuristic approaches: Revisited. International Series in Operations Research and Management Science  10.1007/978-3-319-91086-4_14

2018

Brownlee AEI, WEISZER M, CHEN J, Ravizza S, WOODWARD JR and BURKE EK (2018). A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation. Elsevier  Transportation Research Part C: Emerging Technologies  10.1016/j.trc.2018.04.020

2017

DRAKE J and woodward JR (2017). A Hyper-heuristic Approach to Automated Generation of Mutation Operators for Evolutionary Programming. Elsevier  Applied Soft Computing  vol. 62, 162-175. 10.1016/j.asoc.2017.10.002
WOODWARD JR (2017). The use of predictive models in dynamic treatment planning. Computing Science and Mathematics Journal Articles 
Bai R, Woodward JR, Subramanian N and Cartlidge J (2017). Optimisation of transportation service network using κ -node large neighbourhood search. Computers & Operations Research  vol. 89, 193-205. 10.1016/j.cor.2017.06.008

2016

Benlic U, Burke EK and Woodward JR (2016). Breakout local search for the multi-objective gate allocation problem. Computers and Operations Research  vol. 78, 80-93. 10.1016/j.cor.2016.08.010