Alexander E. I. Brownlee

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 58

Top Venues

Robert Gordon University, Aberdeen, UK (PHD)

Education History

Robert Gordon University, Aberdeen, UK

PHD

Publications

Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee
Explaining evolutionary feature selection via local optima networks. GECCO Companion (2024)
Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
Mining Potentially Explanatory Patterns via Partial Solutions. GECCO Companion (2024)
Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker
Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4 (1) (2024)
Myles Watkinson, Alexander E. I. Brownlee
Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions. Autom. Softw. Eng. 31 (1) (2024)
Leonardo C. T. Bezerra, Alexander E. I. Brownlee, Luana Ferraz Alvarenga, Renan Cipriano Moioli, Thaís Vasconcelos Batista
How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation. CoRR (2024)
Gautam Siddharth Kashyap, Jatin Sohlot, Ayesha Siddiqui, Ramsha Siddiqui, Karan Malik, Samar Wazir, Alexander E. I. Brownlee
Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19. CoRR (2024)
Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo
A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. GECCO Companion (2024)
Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR (2024)
GianCarlo Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
Mining Potentially Explanatory Patterns via Partial Solutions. CoRR (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)
Gautam Siddharth Kashyap, Deepkashi Mahajan, Orchid Chetia Phukan, Ankit Kumar, Alexander E. I. Brownlee, Jiechao Gao
From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue. CoRR (2023)
Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. GECCO Companion (2023)
Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
Enhancing Genetic Improvement Mutations Using Large Language Models. SSBSE (2023)
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg
From Fitness Landscapes to Explainable AI and Back. GECCO Companion (2023)
Dominik Sobania, Alina Geiger, James Callan, Alexander E. I. Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano López, Justyna Petke, Federica Sarro
Evaluating Explanations for Software Patches Generated by Large Language Models. SSBSE (2023)
Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie
Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. SGAI Conf. (2023)
Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White
Program transformation landscapes for automated program modification using Gin. Empir. Softw. Eng. 28 (4) (2023)
Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
Enhancing Genetic Improvement Mutations Using Large Language Models. CoRR (2023)
Gautam Siddharth Kashyap, Alexander E. I. Brownlee, Orchid Chetia Phukan, Karan Malik, Samar Wazir
Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows. CoRR (2023)
Myles Watkinson, Alexander E. I. Brownlee
Updating Gin's profiler for current Java. GI (2023)
Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns
Towards explainable metaheuristic: mining surrogate fitness models for importance of variables. GECCO Companion (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)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR (2022)
Alexander E. I. Brownlee, Michael G. Epitropakis, Jeroen Mulder, Marc Paelinck, Edmund K. Burke
A systematic approach to parameter optimization and its application to flight schedule simulation software. J. Heuristics 28 (4) (2022)
Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W
McCall, David Walker: The intersection of evolutionary computation and explainable AI. GECCO Companion (2022)
Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables. CoRR (2022)
Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White
Metaheuristics "In the Large". Eur. J. Oper. Res. 297 (2) (2022)
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)
Aidan Wallace, Alexander E. I. Brownlee, David E. Cairns
Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables. SGAI Conf. (2021)
Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns
Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. SICSA XAI (2021)
Alexander E. I. Brownlee, Jason Adair, Saemundur O. Haraldsson, John Jabbo
Exploring the Accuracy - Energy Trade-off in Machine Learning. GI@ICSE (2021)
Alexander E. I. Brownlee
Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant. ACM SIGSOFT Softw. Eng. Notes 46 (4) (2021)
Alexander E. I. Brownlee, Jonathan A. Wright, Miaomiao He, Timothy Lee, Paul McMenemy
A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Appl. Soft Comput. 96 (2020)
Zhongrui Wang, Alexander E. I. Brownlee, Qinghua Wu
Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation. Comput. Ind. Eng. 146 (2020)
Alexander E. I. Brownlee, Justyna Petke, Anna F. Rasburn
Injecting Shortcuts for Faster Running Java Code. CEC (2020)
Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo Guervós, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David Robert White
Towards Metaheuristics "In the Large". CoRR (2020)
Alexander E. I. Brownlee, Jerry Swan, Richard Senington, Zoltan A. Kocsis
Conflict-free routing of multi-stop warehouse trucks. Optim. Lett. 14 (6) (2020)
Gabriela Ochoa, Lee A. Christie, Alexander E. I. Brownlee, Andrew Hoyle
Multi-objective evolutionary design of antibiotic treatments. Artif. Intell. Medicine 102 (2020)
Alexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, David Robert White
Gin: genetic improvement research made easy. GECCO (2019)
Kenneth N. Reid, Jingpeng Li, Alexander E. I. Brownlee, Mathias Kern, Nadarajen Veerapen, Jerry Swan, Gilbert Owusu
A hybrid metaheuristic approach to a real world employee scheduling problem. GECCO (2019)
Justyna Petke, Alexander E. I. Brownlee
Software Improvement with Gin: A Case Study. SSBSE (2019)
Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White
A survey of genetic improvement search spaces. GECCO (Companion) (2019)
Alexander E. I. Brownlee, Suk-Jun Kim, Szu-Han Wang, Stella Chan, Jamie A. Lawson
Crowd-sourcing the sounds of places with a web-based evolutionary algorithm. 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)
Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward
Investigating benchmark correlations when comparing algorithms with parameter tuning. GECCO (Companion) (2018)
Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa
Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. EvoApplications (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)
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)
Alexander E. I. Brownlee, Nathan Burles, Jerry Swan
Search-Based Energy Optimization of Some Ubiquitous Algorithms. IEEE Trans. Emerg. Top. Comput. Intell. 1 (3) (2017)
Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. MOD (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)
Alexander E. I. Brownlee
Mining Markov Network Surrogates for Value-Added Optimisation. 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)
Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. UKCI (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)
Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie
Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. CEC (2015)
Alexander E. I. Brownlee, Jonathan A. Wright
Constrained, mixed-integer and multi-objective optimisation of building designs by NSGA-II with fitness approximation. Appl. Soft Comput. 33 (2015)
Alexander E. I. Brownlee, John R. Woodward, Jerry Swan
Metaheuristic Design Pattern: Surrogate Fitness Functions. GECCO (Companion) (2015)
Zoltan A. Kocsis, Alexander E. I. Brownlee, Jerry Swan, Richard Senington
Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics. SSBSE (2015)
Nathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen
Embedded Dynamic Improvement. GECCO (Companion) (2015)
Nathan Burles, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Jerry Swan, Nadarajen Veerapen
Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. SSBSE (2015)
John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee
Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) (2015)
Alexander E. I. Brownlee, Jerry Swan, Ender Özcan, Andrew J. Parkes
Hyperion2: a toolkit for {meta-, hyper-} heuristic research. GECCO (Companion) (2014)
Zoltan A. Kocsis, Geoffrey Neumann, Jerry Swan, Michael G. Epitropakis, Alexander E. I. Brownlee, Saemundur O. Haraldsson, Edward Bowles
Repairing and Optimizing Hadoop hashCode Implementations. SSBSE (2014)
Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang
Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. 17 (6) (2013)
Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter
An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. 44 (11) (2013)
Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan
Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO (2012)
Alexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed
A multi-objective window optimisation problem. GECCO (Companion) (2011)
Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie
Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation (2010)
Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation (2009)
Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu
A fully multivariate DEUM algorithm. IEEE Congress on Evolutionary Computation (2009)
Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown
Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation (2008)
Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO (2008)
Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie
Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. GECCO (2008)
Yanghui Wu, John A. W. McCall, Paul Michael Godley, Alexander E. I. Brownlee, David E. Cairns, Julie Cowie
Bio-control in mushroom farming using a Markov network EDA. IEEE Congress on Evolutionary Computation (2008)
Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown
Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) (2007)
Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall
Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander E. I. Brownlee