Alexander E. I. Brownlee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
6
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | GECCO | Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms. | Hiba Ahmed, Alexander E. I. Brownlee, Jason Adair, Simon T. Powers |
| 2025 | GECCO | Interpretable Decision Trees to Predict Solution Fitness. | Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, Russell Ainslie, John A. W. McCall |
| 2025 | GECCO | Evaluating a Novel Explainability Method for Metaheuristics via a User Study. | GianCarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie |
| 2025 | SGAI | Explaining Recommender Systems' Performance via User Behaviour Patterns. | Giancarlo Antonino Pasquale Ignazio Catalano, Klaudia Dynak, Alexander E. I. Brownlee, Piotr Lipinski |
| 2024 | GECCO | Explaining evolutionary feature selection via local optima networks. | Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee |
| 2024 | GECCO | A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. | Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo |
| 2024 | GECCO | Mining Potentially Explanatory Patterns via Partial Solutions. | Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie |
| 2024 | SGAI | Explaining a Staff Rostering Problem Using Partial Solutions. | Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Martin Fyvie, Russell Ainslie |
| 2023 | GECCO | Genetic Improvement: Taking real-world source code and improving it using computational search methods. | Alexander E. I. Brownlee, Saemundur O. Haraldsson, John R. Woodward |
| 2023 | GECCO | Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. | Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee |
| 2023 | GECCO | From Fitness Landscapes to Explainable AI and Back. | Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg |
| 2023 | SGAI | Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. | Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie |
| 2023 | SSBSE | Enhancing Genetic Improvement Mutations Using Large Language Models. | Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania |
| 2023 | SSBSE | Evaluating Explanations for Software Patches Generated by Large Language Models. | Dominik Sobania, Alina Geiger, James Callan, Alexander E. I. Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano Lpez, Justyna Petke, Federica Sarro |
| 2022 | GECCO | McCall, David Walker: The intersection of evolutionary computation and explainable AI. | Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W |
| 2022 | GECCO | Genetic improvement: taking real-world source code and improving it using computational search methods. | Smundur skar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Bradley Alexander, Emily Winter |
| 2022 | GECCO | Towards explainable metaheuristic: mining surrogate fitness models for importance of variables. | Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns |
| 2021 | GECCO | Genetic improvement: taking real-world source code and improving it using genetic programming. | Smundur skar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner, Bradley Alexander |
| 2021 | SGAI | Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables. | Aidan Wallace, Alexander E. I. Brownlee, David E. Cairns |
| 2020 | CEC | Injecting Shortcuts for Faster Running Java Code. | Alexander E. I. Brownlee, Justyna Petke, Anna F. Rasburn |
| 2019 | GECCO | Crowd-sourcing the sounds of places with a web-based evolutionary algorithm. | Alexander E. I. Brownlee, Suk-Jun Kim, Szu-Han Wang, Stella Chan, Jamie A. Lawson |
| 2019 | GECCO | Gin: genetic improvement research made easy. | Alexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, David Robert White |
| 2019 | GECCO | A survey of genetic improvement search spaces. | Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White |
| 2019 | GECCO | A hybrid metaheuristic approach to a real world employee scheduling problem. | Kenneth N. Reid, Jingpeng Li, Alexander E. I. Brownlee, Mathias Kern, Nadarajen Veerapen, Jerry Swan, Gilbert Owusu |
| 2019 | SSBSE | Software Improvement with Gin: A Case Study. | Justyna Petke, Alexander E. I. Brownlee |
| 2018 | GECCO | Relating training instances to automatic design of algorithms for bin packing via features. | Alexander E. I. Brownlee, John R. Woodward, Nadarajen Veerapen |
| 2018 | GECCO | 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 |
| 2018 | GECCO | Investigating benchmark correlations when comparing algorithms with parameter tuning. | Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward |
| 2017 | EUROGP | Exploring Fitness and Edit Distance of Mutated Python Programs. | Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, David E. Cairns |
| 2017 | GECCO | Fixing bugs in your sleep: how genetic improvement became an overnight success. | Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Kristin Siggeirsdottir |
| 2017 | GECCO | 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 |
| 2017 | ICSE | The Use of Automatic Test Data Generation for Genetic Improvement in a Live System. | Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee |
| 2016 | GECCO | Mining Markov Network Surrogates for Value-Added Optimisation. | Alexander E. I. Brownlee |
| 2016 | GECCO | Evals is Not Enough: Why We Should Report Wall-clock Time. | John R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson |
| 2016 | GECCO | GP vs GI: If You Can't Beat Them, Join Them. | John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee |
| 2016 | GECCO | Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming. | John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee |
| 2015 | CEC | Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. | Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie |
| 2015 | GECCO | Metaheuristic Design Pattern: Surrogate Fitness Functions. | Alexander E. I. Brownlee, John R. Woodward, Jerry Swan |
| 2015 | GECCO | Embedded Dynamic Improvement. | Nathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen |
| 2015 | GECCO | Generating Easy and Hard Problems using the Proximate Optimality Principle. | John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee |
| 2015 | SSBSE | Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. | Nathan Burles, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Jerry Swan, Nadarajen Veerapen |
| 2015 | SSBSE | Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics. | Zoltan A. Kocsis, Alexander E. I. Brownlee, Jerry Swan, Richard Senington |
| 2014 | GECCO | Hyperion2: a toolkit for {meta-, hyper-} heuristic research. | Alexander E. I. Brownlee, Jerry Swan, Ender zcan, Andrew J. Parkes |
| 2014 | SSBSE | Repairing and Optimizing Hadoop hashCode Implementations. | Zoltan A. Kocsis, Geoffrey Neumann, Jerry Swan, Michael G. Epitropakis, Alexander E. I. Brownlee, Saemundur O. Haraldsson, Edward Bowles |
| 2012 | GECCO | Influence of selection on structure learning in markov network EDAs: an empirical study. | Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan |
| 2011 | GECCO | A multi-objective window optimisation problem. | Alexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed |
| 2010 | CEC | Using a Markov network as a surrogate fitness function in a genetic algorithm. | Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie |
| 2009 | CEC | Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. | Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang |
| 2009 | CEC | A fully multivariate DEUM algorithm. | Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, Franois A. Fournier, Gilbert Owusu |
| 2008 | CEC | Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. | Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown |
| 2008 | CEC | Bio-control in mushroom farming using a Markov network EDA. | Yanghui Wu, John A. W. McCall, Paul Michael Godley, Alexander E. I. Brownlee, David E. Cairns, Julie Cowie |
| 2008 | GECCO | An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. | Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski |
| 2008 | GECCO | Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. | Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie |
| 2007 | GECCO | Solving the MAXSAT problem using a multivariate EDA based on Markov networks. | Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown |
| 2005 | CEC | Statistical optimisation and tuning of GA factors. | Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall |