John R. Woodward

According to our database, John R. Woodward authored at least 83 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ensemble strategy using particle swarm optimisation variant and enhanced local search capability.

Libin Hong, Guodong Wang, Ender Özcan, John R. Woodward

Swarm Evol. Comput., February, 2024

2023

How do Developers Really Feel About Bug Fixing? Directions for Automatic Program Repair.

Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur O. Haraldsson, Vesna Nowack, John R. Woodward

IEEE Trans. Software Eng., April, 2023

An Interval Type-2 Fuzzy Logic-Based Map Matching Algorithm for Airport Ground Movements.

Xinwei Wang, Alexander Edward Ian Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf, Jun Chen

IEEE Trans. Fuzzy Syst., February, 2023

Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research.

Emily Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar Haraldsson, John R. Woodward

IEEE Trans. Software Eng., 2023

An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase.

Libin Hong, Xinmeng Yu, Ben Wang, John R. Woodward, Ender Özcan

Swarm Evol. Comput., 2023

SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization.

Tarek Salhi, John R. Woodward

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Genetic Improvement: Taking real-world source code and improving it using computational search methods.

Alexander E. I. Brownlee, Saemundur O. Haraldsson, John R. Woodward

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Fairer Comparisons for Travelling Salesman Problem Solutions Using Hash Functions.

Mehdi El Krari, Rym Nesrine Guibadj, John R. Woodward, Denis Robilliard

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

2022

Evolution of group-theoretic cryptology attacks using hyper-heuristics.

Matthew J. Craven, John R. Woodward

J. Math. Cryptol., 2022

Noise tolerant drift detection method for data stream mining.

Pingfan Wang, Nanlin Jin, Wai Lok Woo, John R. Woodward, Duncan Davies

Inf. Sci., 2022

Towards developer-centered automatic program repair: findings from Bloomberg.

Emily Rowan Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar Haraldsson, John R. Woodward, Serkan Kirbas, Etienne Windels, Olayori McBello, Abdurahman Atakishiyev, Kevin Kells, Matthew W. Pagano

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Generative hyper-heuristics.

Daniel R. Tauritz, John R. Woodward

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Genetic improvement: taking real-world source code and improving it using computational search methods.

Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Bradley Alexander, Emily Winter

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

An 80-20 Analysis of Buggy and Non-buggy Refactorings in Open-Source Commits.

Steve Counsell, Vesna Nowack, Tracy Hall, David Bowes, Saemundur Haraldsson, Emily Winter, John R. Woodward

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Selecting the Parameters of an Evolutionary Algorithm for the Generation of Phenotypically Accurate Fractal Patterns.

Habiba Akter, Rupert C. D. Young, Phil Birch, Chris R. Chatwin, John R. Woodward

Proceedings of the Metaheuristics - 14th International Conference, 2022

2021

On The Introduction of Automatic Program Repair in Bloomberg.

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

IEEE Softw., 2021

A Novel Two-Stage Heart Arrhythmia Ensemble Classifier.

Mercedeh J. Rezaei, John R. Woodward, Julia Ramírez, Patricia B. Munroe

Comput., 2021

Robust scheduling for multiple agile Earth observation satellites under cloud coverage uncertainty.

Xinwei Wang, Yi Gu, Guohua Wu, John R. Woodward

Comput. Ind. Eng., 2021

Expanding Fix Patterns to Enable Automatic Program Repair.

Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Genetic improvement: taking real-world source code and improving it using genetic programming.

Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner, Bradley Alexander

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Natural SQL: Making SQL Easier to Infer from Natural Language Specifications.

Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards Robustness of Text-to-SQL Models against Synonym Substitution.

Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Review of Cross-Domain Text-to-SQL Models.

Yujian Gan, Matthew Purver, John R. Woodward

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

A Structured Approach to Modifying Successful Heuristics.

Simon P. Martin, Matthew J. Craven, John R. Woodward

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Data Augmentation for Heart Arrhythmia Classification.

Mercedeh J. Rezaei, John R. Woodward, Julia Ramírez, Patricia B. Munroe

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry.

Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Vesna Nowack, John R. Woodward

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Exploiting fault localisation for efficient program repair.

Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic improvement: taking real-world source code and improving it using genetic programming.

Sæmundur Óskar Haraldsson, John R. Woodward, Markus Wagner

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Practical Game Design Tool: State Explorer.

Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon Lucas

Proceedings of the IEEE Conference on Games, 2020

2019

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best.

Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana

CoRR, 2019

A Constructive Heuristic Approach for Single Airport Slot Allocation Problems.

Sha Wang, John H. Drake, Jamie Fairbrother, John R. Woodward

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Modelling Player Preferences in AR Mobile Games.

Vivek R. Warriar, John R. Woodward, Laurissa N. Tokarchuk

Proceedings of the IEEE Conference on Games, 2019

PlayMapper: Illuminating Design Spaces of Platform Games.

Vivek R. Warriar, Carmen Ugarte, John R. Woodward, Laurissa Tokarchuk

Proceedings of the IEEE Conference on Games, 2019

Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games.

Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas

Proceedings of the IEEE Conference on Games, 2019

Extracting Learning Curves From Puzzle Games.

Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas

Proceedings of the 11th Computer Science and Electronic Engineering Conference, 2019

2018

Genetic Improvement of Software: A Comprehensive Survey.

Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David Robert White, John R. Woodward

IEEE Trans. Evol. Comput., 2018

Optimisation of transportation service network using κ-node large neighbourhood search.

Ruibin Bai, John R. Woodward, Nachiappan Subramanian, John Cartlidge

Comput. Oper. Res., 2018

A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming.

Libin Hong, John H. Drake, John R. Woodward, Ender Özcan

Appl. Soft Comput., 2018

Tutorials at PPSN 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Hyper-heuristics tutorial.

Daniel R. Tauritz, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Investigating benchmark correlations when comparing algorithms with parameter tuning.

Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing.

Alexander E. I. Brownlee, John R. Woodward, Michal Weiszer, Jun Chen

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Relating training instances to automatic design of algorithms for bin packing via features.

Alexander E. I. Brownlee, John R. Woodward, Nadarajen Veerapen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Breakout local search for the multi-objective gate allocation problem.

Una Benlic, Edmund K. Burke, John R. Woodward

Comput. Oper. Res., 2017

The use of predictive models in dynamic treatment planning.

Saemundur O. Haraldsson, Ragnheidur D. Brynjolfsdottir, John R. Woodward, Kristin Siggeirsdottir, Vilmundur Gudnason

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

The Use of Automatic Test Data Generation for Genetic Improvement in a Live System.

Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee

Proceedings of the 10th IEEE/ACM International Workshop on Search-Based Software Testing, 2017

Genetic improvement of runtime and its fitness landscape in a bioinformatics application.

Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Albert V. Smith, Vilmundur Gudnason

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Fixing bugs in your sleep: how genetic improvement became an overnight success.

Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Kristin Siggeirsdottir

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Exploring Fitness and Edit Distance of Mutated Python Programs.

Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, David E. Cairns

Proceedings of the Genetic Programming - 20th European Conference, 2017

2016

A new fast large neighbourhood search for service network design with asset balance constraints.

Ruibin Bai, John R. Woodward, Nachiappan Subramanian

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming.

John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

GP vs GI: If You Can't Beat Them, Join Them.

John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evals is Not Enough: Why We Should Report Wall-clock Time.

John R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

ECADA 2016 Chairs' Welcome.

Manuel López-Ibáñez, Daniel R. Tauritz, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic.

Libin Hong, John H. Drake, John R. Woodward, Ender Özcan

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Hyper-Heuristics.

John R. Woodward, Daniel R. Tauritz

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Fitness as Task-relevant Information Accumulation.

Colin G. Johnson, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate.

Saemundur O. Haraldsson, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Metaheuristic Design Pattern: Surrogate Fitness Functions.

Alexander E. I. Brownlee, John R. Woodward, Jerry Swan

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms.

Gisele L. Pappa, Gabriela Ochoa, Matthew R. Hyde, Alex Alves Freitas, John R. Woodward, Jerry Swan

Genet. Program. Evolvable Mach., 2014

Searching the Hyper-heuristic Design Space.

Jerry Swan, John R. Woodward, Ender Özcan, Graham Kendall, Edmund K. Burke

Cogn. Comput., 2014

The 'composite' design pattern in metaheuristics.

John R. Woodward, Jerry Swan, Simon Martin

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Template method hyper-heuristics.

John Robert Woodward, Jerry Swan

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Benchmarks that matter for genetic programming.

John R. Woodward, Simon Martin, Jerry Swan

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Automated design of algorithms and genetic improvement: contrast and commonalities.

Saemundur O. Haraldsson, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming.

Libin Hong, John Robert Woodward, Jingpeng Li, Ender Özcan

Proceedings of the Genetic Programming - 16th European Conference, 2013

An ensemble based Genetic Programming system to predict English football premier league games.

Tianxiang Cui, Jingpeng Li, John Robert Woodward, Andrew J. Parkes

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2012

Automating the Packing Heuristic Design Process with Genetic Programming.

Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward

Evol. Comput., 2012

A Comparison of Acceptance Criteria for the Daily Car-Pooling Problem.

Jerry Swan, John H. Drake, Ender Özcan, James Goulding, John Robert Woodward

Proceedings of the Computer and Information Sciences III, 2012

The automatic generation of mutation operators for genetic algorithms.

John Robert Woodward, Jerry Swan

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Automatically designing selection heuristics.

John Robert Woodward, Jerry Swan

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A Syntactic Approach to Prediction.

John Robert Woodward, Jerry Swan

Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2010

A Genetic Programming Hyper-Heuristic Approach for Evolving 2-D Strip Packing Heuristics.

Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward

IEEE Trans. Evol. Comput., 2010

2009

Why evolution is not a good paradigm for program induction: a critique of genetic programming.

John R. Woodward, Ruibin Bai

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Canonical representation genetic programming.

John R. Woodward, Ruibin Bai

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2007

Automatic heuristic generation with genetic programming: evolving a jack-of-all-trades or a master of one.

Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A histogram-matching approach to the evolution of bin-packing strategies.

Riccardo Poli, John R. Woodward, Edmund K. Burke

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Invariance of Function Complexity Under Primitive Recursive Functions.

John R. Woodward

Proceedings of the Genetic Programming, 9th European Conference, 2006

Complexity and Cartesian Genetic Programming.

John R. Woodward

Proceedings of the Genetic Programming, 9th European Conference, 2006

2003

No Free Lunch, Program Induction and Combinatorial Problems.

John R. Woodward, James R. Neil

Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

Modularity in Genetic Programming.

John R. Woodward

Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

GA or GP? That is not the question.

John R. Woodward

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Evolving Turing Complete representations.

John R. Woodward

Proceedings of the IEEE Congress on Evolutionary Computation, 2003