Alexander E. I. Brownlee

According to our database, Alexander E. I. Brownlee authored at least 81 papers between 2005 and 2024.

Collaborative distances:

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

2024

Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions.

Myles Watkinson, Alexander E. I. Brownlee

Autom. Softw. Eng., June, 2024

Introduction to the Special Issue on Explainable AI in Evolutionary Computation.

Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker

ACM Trans. Evol. Learn. Optim., March, 2024

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.

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

CoRR, 2024

How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation.

Leonardo C. T. Bezerra, Alexander E. I. Brownlee, Luana Ferraz Alvarenga, Renan Cipriano Moioli, Thaís Vasconcelos Batista

CoRR, 2024

Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19.

Gautam Siddharth Kashyap, Jatin Sohlot, Ayesha Siddiqui, Ramsha Siddiqui, Karan Malik, Samar Wazir, Alexander E. I. Brownlee

CoRR, 2024

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

Proceedings of the Artificial Intelligence XLI, 2024

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.

Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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

Alexander Edward Ian Brownlee, Saemundur O. Haraldsson, John Robert Woodward, Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Explaining evolutionary feature selection via local optima networks.

Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Program transformation landscapes for automated program modification using Gin.

Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White

Empir. Softw. Eng., July, 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

From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue.

Gautam Siddharth Kashyap, Deepkashi Mahajan, Orchid Chetia Phukan, Ankit Kumar, Alexander E. I. Brownlee, Jiechao Gao

CoRR, 2023

Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows.

Gautam Siddharth Kashyap, Alexander E. I. Brownlee, Orchid Chetia Phukan, Karan Malik, Samar Wazir

CoRR, 2023

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 López, Justyna Petke, Federica Sarro

Proceedings of the Search-Based Software Engineering - 15th International Symposium, 2023

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

Proceedings of the Search-Based Software Engineering - 15th International Symposium, 2023

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

Proceedings of the Artificial Intelligence XL, 2023

Updating Gin's profiler for current Java.

Myles Watkinson, Alexander E. I. Brownlee

Proceedings of the IEEE/ACM International Workshop on Genetic Improvement, 2023

From Fitness Landscapes to Explainable AI and Back.

Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg

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

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality.

Kevin Carrie Graham, Sarah Louise Thomson, Alexander Edward Ian Brownlee

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

Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis.

Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee

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

2022

A systematic approach to parameter optimization and its application to flight schedule simulation software.

Alexander E. I. Brownlee, Michael G. Epitropakis, Jeroen Mulder, Marc Paelinck, Edmund K. Burke

J. Heuristics, 2022

Metaheuristics "In the Large".

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

Eur. J. Oper. Res., 2022

Towards explainable metaheuristic: mining surrogate fitness models for importance of variables.

Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns

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

McCall, David Walker: The intersection of evolutionary computation and explainable AI.

Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W

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

2021

Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant.

Alexander E. I. Brownlee

ACM SIGSOFT Softw. Eng. Notes, 2021

Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation.

Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns

Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, 2021

Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables.

Aidan Wallace, Alexander E. I. Brownlee, David E. Cairns

Proceedings of the Artificial Intelligence XXXVIII, 2021

Exploring the Accuracy - Energy Trade-off in Machine Learning.

Alexander E. I. Brownlee, Jason Adair, Saemundur O. Haraldsson, John Jabbo

Proceedings of the 10th IEEE/ACM International Workshop on Genetic Improvement, 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

2020

Conflict-free routing of multi-stop warehouse trucks.

Alexander E. I. Brownlee, Jerry Swan, Richard Senington, Zoltan A. Kocsis

Optim. Lett., 2020

Towards Metaheuristics "In the Large".

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

CoRR, 2020

Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation.

Zhongrui Wang, Alexander E. I. Brownlee, Qinghua Wu

Comput. Ind. Eng., 2020

A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements.

Alexander E. I. Brownlee, Jonathan A. Wright, Miaomiao He, Timothy Lee, Paul McMenemy

Appl. Soft Comput., 2020

Multi-objective evolutionary design of antibiotic treatments.

Gabriela Ochoa, Lee A. Christie, Alexander E. I. Brownlee, Andrew Hoyle

Artif. Intell. Medicine, 2020

Injecting Shortcuts for Faster Running Java Code.

Alexander E. I. Brownlee, Justyna Petke, Anna F. Rasburn

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Software Improvement with Gin: A Case Study.

Justyna Petke, Alexander E. I. Brownlee

Proceedings of the Search-Based Software Engineering - 11th International Symposium, 2019

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A survey of genetic improvement search spaces.

Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Gin: genetic improvement research made easy.

Alexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, David Robert White

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

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

Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces.

Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa

Proceedings of the Applications of Evolutionary Computation, 2018

2017

Search-Based Energy Optimization of Some Ubiquitous Algorithms.

Alexander E. I. Brownlee, Nathan Burles, Jerry Swan

IEEE Trans. Emerg. Top. Comput. Intell., 2017

Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces.

Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa

Proceedings of the Machine Learning, Optimization, and Big Data, 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

Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces.

Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa

Proceedings of the Advances in Computational Intelligence Systems, 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

Mining Markov Network Surrogates for Value-Added Optimisation.

Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Constrained, mixed-integer and multi-objective optimisation of building designs by NSGA-II with fitness approximation.

Alexander E. I. Brownlee, Jonathan A. Wright

Appl. Soft Comput., 2015

Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics.

Zoltan A. Kocsis, Alexander E. I. Brownlee, Jerry Swan, Richard Senington

Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

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

Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Generating Easy and Hard Problems using the Proximate Optimality Principle.

John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Embedded Dynamic Improvement.

Nathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen

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

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

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

Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

Hyperion2: a toolkit for {meta-, hyper-} heuristic research.

Alexander E. I. Brownlee, Jerry Swan, Ender Özcan, Andrew J. Parkes

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Fitness Modeling With Markov Networks.

Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang

IEEE Trans. Evol. Comput., 2013

An application of a GA with Markov network surrogate to feature selection.

Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter

Int. J. Syst. Sci., 2013

2012

Influence of selection on structure learning in markov network EDAs: an empirical study.

Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

A multi-objective window optimisation problem.

Alexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed

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

2010

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm.

Alexander E. I. Brownlee

PhD thesis, 2009

A fully multivariate DEUM algorithm.

Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy.

Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Solving the MAXSAT problem using a multivariate EDA based on Markov networks.

Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2005

Statistical optimisation and tuning of GA factors.

Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall

Proceedings of the IEEE Congress on Evolutionary Computation, 2005