John R. Woodward

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 68

Top Topics

Genetic Programming

Neighbourhood Search

Top Venues

GECCO (Companion)

GECCO Companion

Publications

Libin Hong, Guodong Wang, Ender Özcan, John R. Woodward
Ensemble strategy using particle swarm optimisation variant and enhanced local search capability. Swarm Evol. Comput. 84 (2024)
Alexander E. I. Brownlee, Saemundur O. Haraldsson, John R. Woodward
Genetic Improvement: Taking real-world source code and improving it using computational search methods. GECCO Companion (2023)
Xinwei Wang, Alexander Edward Ian Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf, Jun Chen
An Interval Type-2 Fuzzy Logic-Based Map Matching Algorithm for Airport Ground Movements. IEEE Trans. Fuzzy Syst. 31 (2) (2023)
Emily Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar Haraldsson, John R. Woodward
Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research. IEEE Trans. Software Eng. 49 (1) (2023)
Daniel R. Tauritz, John R. Woodward
Generative Hyper-heuristics. GECCO Companion (2023)
Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur O. Haraldsson, Vesna Nowack, John R. Woodward
How do Developers Really Feel About Bug Fixing? Directions for Automatic Program Repair. IEEE Trans. Software Eng. 49 (4) (2023)
Libin Hong, Xinmeng Yu, Ben Wang, John R. Woodward, Ender Özcan
An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase. Swarm Evol. Comput. 78 (2023)
Tarek Salhi, John R. Woodward
SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization. LOD (2) (2023)
Emily Rowan Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Haraldsson, John R. Woodward, Serkan Kirbas, Etienne Windels, Olayori McBello, Abdurahman Atakishiyev, Kevin Kells, Matthew W. Pagano
Towards developer-centered automatic program repair: findings from Bloomberg. ESEC/SIGSOFT FSE (2022)
Pingfan Wang, Nanlin Jin, Wai Lok Woo, John R. Woodward, Duncan Davies
Noise tolerant drift detection method for data stream mining. Inf. Sci. 609 (2022)
Habiba Akter, Rupert C. D. Young, Phil Birch, Chris R. Chatwin, John R. Woodward
Selecting the Parameters of an Evolutionary Algorithm for the Generation of Phenotypically Accurate Fractal Patterns. MIC (2022)
Matthew J. Craven, John R. Woodward
Evolution of group-theoretic cryptology attacks using hyper-heuristics. J. Math. Cryptol. 16 (1) (2022)
Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Bradley Alexander, Emily Winter
Genetic improvement: taking real-world source code and improving it using computational search methods. GECCO Companion (2022)
Steve Counsell, Vesna Nowack, Tracy Hall, David Bowes, Saemundur Haraldsson, Emily Winter, John R. Woodward
An 80-20 Analysis of Buggy and Non-buggy Refactorings in Open-Source Commits. SEAA (2022)
Daniel R. Tauritz, John R. Woodward
Generative hyper-heuristics. GECCO Companion (2022)
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang
Towards Robustness of Text-to-SQL Models against Synonym Substitution. ACL/IJCNLP (1) (2021)
Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner, Bradley Alexander
Genetic improvement: taking real-world source code and improving it using genetic programming. GECCO Companion (2021)
Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. CoRR (2021)
Xinwei Wang, Yi Gu, Guohua Wu, John R. Woodward
Robust scheduling for multiple agile Earth observation satellites under cloud coverage uncertainty. Comput. Ind. Eng. 156 (2021)
Serkan Kirbas, Etienne Windels, Olayori McBello, Kevin Kells, Matthew W. Pagano, Rafal Szalanski, Vesna Nowack, Emily Rowan Winter, Steve Counsell, David Bowes, Tracy Hall, Saemundur Haraldsson, John R. Woodward
On The Introduction of Automatic Program Repair in Bloomberg. IEEE Softw. 38 (4) (2021)
Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward
Expanding Fix Patterns to Enable Automatic Program Repair. ISSRE (2021)
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang
Towards Robustness of Text-to-SQL Models against Synonym Substitution. CoRR (2021)
Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. EMNLP (Findings) (2021)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO Companion (2021)
Mercedeh J. Rezaei, John R. Woodward, Julia Ramírez, Patricia B. Munroe
A Novel Two-Stage Heart Arrhythmia Ensemble Classifier. Comput. 10 (5) (2021)
Simon P. Martin, Matthew J. Craven, John R. Woodward
A Structured Approach to Modifying Successful Heuristics. IJCCI (2020)
Yujian Gan, Matthew Purver, John R. Woodward
A Review of Cross-Domain Text-to-SQL Models. AACL/IJCNLP (Student Research Workshop) (2020)
Mercedeh J. Rezaei, John R. Woodward, Julia Ramírez, Patricia B. Munroe
Data Augmentation for Heart Arrhythmia Classification. ICTAI (2020)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO Companion (2020)
Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Vesna Nowack, John R. Woodward
Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry. ICSE (Workshops) (2020)
Matthew J. Craven, John R. Woodward
Evolution of Group-Theoretic Cryptology Attacks using Hyper-heuristics. CoRR (2020)
Sæmundur Óskar Haraldsson, John R. Woodward, Markus Wagner
Genetic improvement: taking real-world source code and improving it using genetic programming. GECCO Companion (2020)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon Lucas
Practical Game Design Tool: State Explorer. CoG (2020)
Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward
Exploiting fault localisation for efficient program repair. GECCO Companion (2020)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoG (2019)
Sha Wang, John H. Drake, Jamie Fairbrother, John R. Woodward
A Constructive Heuristic Approach for Single Airport Slot Allocation Problems. SSCI (2019)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoRR (2019)
Vivek R. Warriar, Carmen Ugarte, John R. Woodward, Laurissa Tokarchuk
PlayMapper: Illuminating Design Spaces of Platform Games. CoG (2019)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Extracting Learning Curves From Puzzle Games. CEEC (2019)
Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. CoRR (2019)
Vivek R. Warriar, John R. Woodward, Laurissa N. Tokarchuk
Modelling Player Preferences in AR Mobile Games. CoG (2019)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO (Companion) (2019)
Alexander E. I. Brownlee, John R. Woodward, Nadarajen Veerapen
Relating training instances to automatic design of algorithms for bin packing via features. GECCO (Companion) (2018)
Alexander E. I. Brownlee, John R. Woodward, Michal Weiszer, Jun Chen
A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing. GECCO (2018)
Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David Robert White, John R. Woodward
Genetic Improvement of Software: A Comprehensive Survey. IEEE Trans. Evol. Comput. 22 (3) (2018)
Ruibin Bai, John R. Woodward, Nachiappan Subramanian, John Cartlidge
Optimisation of transportation service network using κ-node large neighbourhood search. Comput. Oper. Res. 89 (2018)
Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward
Investigating benchmark correlations when comparing algorithms with parameter tuning. GECCO (Companion) (2018)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
Tutorials at PPSN 2018. PPSN (2) (2018)
Libin Hong, John H. Drake, John R. Woodward, Ender Özcan
A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming. Appl. Soft Comput. 62 (2018)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO (Companion) (2018)
Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee
The Use of Automatic Test Data Generation for Genetic Improvement in a Live System. SBST@ICSE (2017)
Una Benlic, Edmund K. Burke, John R. Woodward
Breakout local search for the multi-objective gate allocation problem. Comput. Oper. Res. 78 (2017)
Saemundur O. Haraldsson, Ragnheidur D. Brynjolfsdottir, John R. Woodward, Kristin Siggeirsdottir, Vilmundur Gudnason
The use of predictive models in dynamic treatment planning. ISCC (2017)
Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Albert V. Smith, Vilmundur Gudnason
Genetic improvement of runtime and its fitness landscape in a bioinformatics application. GECCO (Companion) (2017)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO (Companion) (2017)
Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Kristin Siggeirsdottir
Fixing bugs in your sleep: how genetic improvement became an overnight success. GECCO (Companion) (2017)
Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, David E. Cairns
Exploring Fitness and Edit Distance of Mutated Python Programs. EuroGP (2017)
Libin Hong, John H. Drake, John R. Woodward, Ender Özcan
Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic. GECCO (2016)
Ruibin Bai, John R. Woodward, Nachiappan Subramanian
A new fast large neighbourhood search for service network design with asset balance constraints. SSCI (2016)
Manuel López-Ibáñez, Daniel R. Tauritz, John R. Woodward
ECADA 2016 Chairs' Welcome. GECCO (Companion) (2016)
John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee
Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming. GECCO (Companion) (2016)
Daniel R. Tauritz, John R. Woodward
Hyper-Heuristics. GECCO (Companion) (2016)
John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee
GP vs GI: If You Can't Beat Them, Join Them. GECCO (Companion) (2016)
John R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson
Evals is Not Enough: Why We Should Report Wall-clock Time. GECCO (Companion) (2016)
John R. Woodward, Daniel R. Tauritz
Hyper-Heuristics. GECCO (Companion) (2015)
Alexander E. I. Brownlee, John R. Woodward, Jerry Swan
Metaheuristic Design Pattern: Surrogate Fitness Functions. GECCO (Companion) (2015)
Colin G. Johnson, John R. Woodward
Fitness as Task-relevant Information Accumulation. GECCO (Companion) (2015)
Saemundur O. Haraldsson, John R. Woodward
Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate. GECCO (Companion) (2015)
Saemundur O. Haraldsson, John R. Woodward
Automated design of algorithms and genetic improvement: contrast and commonalities. GECCO (Companion) (2014)
John R. Woodward, Simon Martin, Jerry Swan
Benchmarks that matter for genetic programming. GECCO (Companion) (2014)
Jerry Swan, John R. Woodward, Ender Özcan, Graham Kendall, Edmund K. Burke
Searching the Hyper-heuristic Design Space. Cogn. Comput. 6 (1) (2014)
Gisele L. Pappa, Gabriela Ochoa, Matthew R. Hyde, Alex Alves Freitas, John R. Woodward, Jerry Swan
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genet. Program. Evolvable Mach. 15 (1) (2014)
John R. Woodward, Jerry Swan, Simon Martin
The 'composite' design pattern in metaheuristics. GECCO (Companion) (2014)
Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward
Automating the Packing Heuristic Design Process with Genetic Programming. Evol. Comput. 20 (1) (2012)
Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward
A Genetic Programming Hyper-Heuristic Approach for Evolving 2-D Strip Packing Heuristics. IEEE Trans. Evol. Comput. 14 (6) (2010)
John R. Woodward, Ruibin Bai
Canonical representation genetic programming. GEC Summit (2009)
John R. Woodward, Ruibin Bai
Why evolution is not a good paradigm for program induction: a critique of genetic programming. GEC Summit (2009)
Riccardo Poli, John R. Woodward, Edmund K. Burke
A histogram-matching approach to the evolution of bin-packing strategies. IEEE Congress on Evolutionary Computation (2007)
Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward
Automatic heuristic generation with genetic programming: evolving a jack-of-all-trades or a master of one. GECCO (2007)
John R. Woodward
Complexity and Cartesian Genetic Programming. EuroGP (2006)
John R. Woodward
Invariance of Function Complexity Under Primitive Recursive Functions. EuroGP (2006)
John R. Woodward
Modularity in Genetic Programming. EuroGP (2003)
John R. Woodward
GA or GP? That is not the question. IEEE Congress on Evolutionary Computation (2003)
John R. Woodward
Evolving Turing Complete representations. IEEE Congress on Evolutionary Computation (2003)
John R. Woodward, James R. Neil
No Free Lunch, Program Induction and Combinatorial Problems. EuroGP (2003)