Dr John Woodward

Senior Lecturer and Head of Operational Research Group
School of Electronic Engineering and Computer Science
Mile End Rd, London E1 4NS
+44 20 7882 5813
j.woodward@qmul.ac.uk
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.
More here
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_142018

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.2018.04.0202017

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.2017.06.0082016

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