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Institute of Applied Data Science


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


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


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 of specific relevance to Applied Data Science


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


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


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


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