Alexander E. I. Brownlee

92 papers A* 1A 7B 17Journal 30Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Evaluating a Novel Explainability Method for Metaheuristics via a User Study. GECCO Companion Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
2025	—	`conf`	Explaining Recommender Systems' Performance via User Behaviour Patterns. AI (2) Giancarlo Antonino Pasquale Ignazio Catalano, Klaudia Dynak, Alexander E. I. Brownlee, Piotr Lipinski
2025	A	`conf`	Interpretable Decision Trees to Predict Solution Fitness. GECCO Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, Russell Ainslie, John A. W. McCall
2025	J	`jnl`	Introduction to the Special Issue on Explainable AI in Evolutionary Computation - Part 2. ACM Trans. Evol. Learn. Optim. Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John McCall, David Walker
2025	A*	`conf`	LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution. ASE Karine Even-Mendoza, Alexander E. I. Brownlee, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
2025	J	`jnl`	LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution. CoRR Karine Even-Mendoza, Alexander E. I. Brownlee, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
2025	J	`jnl`	Large language model based mutations in genetic improvement. Autom. Softw. Eng. Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
2025	J	`jnl`	Optimization of the rectangle area inside a concave polygon using PSO and Tabu Search. Soft Comput. Gautam Siddharth Kashyap, Karan Malik, Samar Wazir, Alexander E. I. Brownlee
2025	J	`jnl`	Surrogate-assisted evolutionary multi-objective optimisation of office building glazing. Ind. Artif. Intell. Alexander E. I. Brownlee, Ernest R. O. Vanmosuinck
2025	J	`jnl`	Towards explainable metaheuristics: Feature extraction from trajectory mining. Expert Syst. J. Knowl. Eng. Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee, Manjinder Singh
2024	—	`conf`	A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. GECCO Companion Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo
2024	J	`jnl`	Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions. Autom. Softw. Eng. Myles Watkinson, Alexander E. I. Brownlee
2024	J	`jnl`	Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19. CoRR Gautam Siddharth Kashyap, Jatin Sohlot, Ayesha Siddiqui, Ramsha Siddiqui, Karan Malik, Samar Wazir, Alexander E. I. Brownlee
2024	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR 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
2024	—	`conf`	Explaining a Staff Rostering Problem Using Partial Solutions. SGAI Conf. (2) Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Martin Fyvie, Russell Ainslie
2024	—	`conf`	Explaining evolutionary feature selection via local optima networks. GECCO Companion Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee
2024	J	`jnl`	How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation. CoRR Leonardo C. T. Bezerra, Alexander E. I. Brownlee, Luana Ferraz Alvarenga, Renan Cipriano Moioli, Thaís Vasconcelos Batista
2024	J	`jnl`	Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker
2024	—	`conf`	Mining Potentially Explanatory Patterns via Partial Solutions. GECCO Companion Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
2024	J	`jnl`	Mining Potentially Explanatory Patterns via Partial Solutions. CoRR GianCarlo Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie
2023	B	`conf`	Enhancing Genetic Improvement Mutations Using Large Language Models. SSBSE Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
2023	J	`jnl`	Enhancing Genetic Improvement Mutations Using Large Language Models. CoRR Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
2023	B	`conf`	Evaluating Explanations for Software Patches Generated by Large Language Models. SSBSE Dominik Sobania, Alina Geiger, James Callan, Alexander E. I. Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano López, Justyna Petke, Federica Sarro
2023	—	`conf`	Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. GECCO Companion Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee
2023	—	`conf`	Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. SGAI Conf. Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexandru-Ciprian Zavoianu, Alexander E. I. Brownlee, Russell Ainslie
2023	—	`conf`	From Fitness Landscapes to Explainable AI and Back. GECCO Companion Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg
2023	J	`jnl`	From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue. CoRR Gautam Siddharth Kashyap, Deepkashi Mahajan, Orchid Chetia Phukan, Ankit Kumar, Alexander E. I. Brownlee, Jiechao Gao
2023	—	`conf`	Genetic Improvement: Taking real-world source code and improving it using computational search methods. GECCO Companion Alexander E. I. Brownlee, Saemundur O. Haraldsson, John R. Woodward
2023	J	`jnl`	Program transformation landscapes for automated program modification using Gin. Empir. Softw. Eng. Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White
2023	J	`jnl`	Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows. CoRR Gautam Siddharth Kashyap, Alexander E. I. Brownlee, Orchid Chetia Phukan, Karan Malik, Samar Wazir
2023	B	`conf`	Updating Gin's profiler for current Java. GI Myles Watkinson, Alexander E. I. Brownlee
2022	J	`jnl`	A systematic approach to parameter optimization and its application to flight schedule simulation software. J. Heuristics Alexander E. I. Brownlee, Michael G. Epitropakis, Jeroen Mulder, Marc Paelinck, Edmund K. Burke
2022	J	`jnl`	An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2022	—	`conf`	Genetic improvement: taking real-world source code and improving it using computational search methods. GECCO Companion Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Bradley Alexander, Emily Winter
2022	—	`conf`	McCall, David Walker: The intersection of evolutionary computation and explainable AI. GECCO Companion Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W
2022	J	`jnl`	Metaheuristics "In the Large". Eur. J. Oper. Res. 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
2022	J	`jnl`	Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables. CoRR Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns
2022	—	`conf`	Towards explainable metaheuristic: mining surrogate fitness models for importance of variables. GECCO Companion Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns
2021	—	`conf`	Exploring the Accuracy - Energy Trade-off in Machine Learning. GI@ICSE Alexander E. I. Brownlee, Jason Adair, Saemundur O. Haraldsson, John Jabbo
2021	J	`jnl`	Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant. ACM SIGSOFT Softw. Eng. Notes Alexander E. I. Brownlee
2021	—	`conf`	Genetic improvement: taking real-world source code and improving it using genetic programming. GECCO Companion Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner, Bradley Alexander
2021	—	`conf`	Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. SICSA XAI Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns
2021	—	`conf`	Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables. SGAI Conf. Aidan Wallace, Alexander E. I. Brownlee, David E. Cairns
2020	J	`jnl`	A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Appl. Soft Comput. Alexander E. I. Brownlee, Jonathan A. Wright, Miaomiao He, Timothy Lee, Paul McMenemy
2020	J	`jnl`	Conflict-free routing of multi-stop warehouse trucks. Optim. Lett. Alexander E. I. Brownlee, Jerry Swan, Richard Senington, Zoltan A. Kocsis
2020	B	`conf`	Injecting Shortcuts for Faster Running Java Code. CEC Alexander E. I. Brownlee, Justyna Petke, Anna F. Rasburn
2020	J	`jnl`	Multi-objective evolutionary design of antibiotic treatments. Artif. Intell. Medicine Gabriela Ochoa, Lee A. Christie, Alexander E. I. Brownlee, Andrew Hoyle
2020	J	`jnl`	Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation. Comput. Ind. Eng. Zhongrui Wang, Alexander E. I. Brownlee, Qinghua Wu
2020	J	`jnl`	Towards Metaheuristics "In the Large". CoRR 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
2019	A	`conf`	A hybrid metaheuristic approach to a real world employee scheduling problem. GECCO Kenneth N. Reid, Jingpeng Li, Alexander E. I. Brownlee, Mathias Kern, Nadarajen Veerapen, Jerry Swan, Gilbert Owusu
2019	—	`conf`	A survey of genetic improvement search spaces. GECCO (Companion) Justyna Petke, Brad Alexander, Earl T. Barr, Alexander E. I. Brownlee, Markus Wagner, David Robert White
2019	—	`conf`	Crowd-sourcing the sounds of places with a web-based evolutionary algorithm. GECCO (Companion) Alexander E. I. Brownlee, Suk-Jun Kim, Szu-Han Wang, Stella Chan, Jamie A. Lawson
2019	A	`conf`	Gin: genetic improvement research made easy. GECCO Alexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, David Robert White
2019	B	`conf`	Software Improvement with Gin: A Case Study. SSBSE Justyna Petke, Alexander E. I. Brownlee
2018	A	`conf`	A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing. GECCO Alexander E. I. Brownlee, John R. Woodward, Michal Weiszer, Jun Chen
2018	—	`conf`	Investigating benchmark correlations when comparing algorithms with parameter tuning. GECCO (Companion) Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward
2018	B	`conf`	Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. EvoApplications Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa
2018	—	`conf`	Relating training instances to automatic design of algorithms for bin packing via features. GECCO (Companion) Alexander E. I. Brownlee, John R. Woodward, Nadarajen Veerapen
2017	—	`conf`	Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. MOD Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa
2017	B	`conf`	Exploring Fitness and Edit Distance of Mutated Python Programs. EuroGP Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, David E. Cairns
2017	—	`conf`	Fixing bugs in your sleep: how genetic improvement became an overnight success. GECCO (Companion) Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Kristin Siggeirsdottir
2017	—	`conf`	Genetic improvement of runtime and its fitness landscape in a bioinformatics application. GECCO (Companion) Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Albert V. Smith, Vilmundur Gudnason
2017	J	`jnl`	Search-Based Energy Optimization of Some Ubiquitous Algorithms. IEEE Trans. Emerg. Top. Comput. Intell. Alexander E. I. Brownlee, Nathan Burles, Jerry Swan
2017	—	`conf`	The Use of Automatic Test Data Generation for Genetic Improvement in a Live System. SBST@ICSE Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee
2016	—	`conf`	Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming. GECCO (Companion) John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee
2016	—	`conf`	Evals is Not Enough: Why We Should Report Wall-clock Time. GECCO (Companion) John R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson
2016	—	`conf`	Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. UKCI Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa
2016	—	`conf`	GP vs GI: If You Can't Beat Them, Join Them. GECCO (Companion) John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee
2016	—	`conf`	Mining Markov Network Surrogates for Value-Added Optimisation. GECCO (Companion) Alexander E. I. Brownlee
2015	J	`jnl`	Constrained, mixed-integer and multi-objective optimisation of building designs by NSGA-II with fitness approximation. Appl. Soft Comput. Alexander E. I. Brownlee, Jonathan A. Wright
2015	—	`conf`	Embedded Dynamic Improvement. GECCO (Companion) Nathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen
2015	—	`conf`	Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee
2015	B	`conf`	Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics. SSBSE Zoltan A. Kocsis, Alexander E. I. Brownlee, Jerry Swan, Richard Senington
2015	—	`conf`	Metaheuristic Design Pattern: Surrogate Fitness Functions. GECCO (Companion) Alexander E. I. Brownlee, John R. Woodward, Jerry Swan
2015	B	`conf`	Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava. SSBSE Nathan Burles, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Jerry Swan, Nadarajen Veerapen
2015	B	`conf`	Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. CEC Alexander E. I. Brownlee, John A. W. McCall, Lee A. Christie
2014	—	`conf`	Hyperion2: a toolkit for {meta-, hyper-} heuristic research. GECCO (Companion) Alexander E. I. Brownlee, Jerry Swan, Ender Özcan, Andrew J. Parkes
2014	B	`conf`	Repairing and Optimizing Hadoop hashCode Implementations. SSBSE Zoltan A. Kocsis, Geoffrey Neumann, Jerry Swan, Michael G. Epitropakis, Alexander E. I. Brownlee, Saemundur O. Haraldsson, Edward Bowles
2013	J	`jnl`	An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter
2013	J	`jnl`	Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang
2012	A	`conf`	Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO Alexander E. I. Brownlee, John A. W. McCall, Martin Pelikan
2011	—	`conf`	A multi-objective window optimisation problem. GECCO (Companion) Alexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed
2010	B	`conf`	Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie
2009	B	`conf`	A fully multivariate DEUM algorithm. IEEE Congress on Evolutionary Computation Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu
2009	—	`—`	Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. Alexander E. I. Brownlee
2009	B	`conf`	Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang
2008	A	`conf`	An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski
2008	B	`conf`	Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown
2008	B	`conf`	Bio-control in mushroom farming using a Markov network EDA. IEEE Congress on Evolutionary Computation Yanghui Wu, John A. W. McCall, Paul Michael Godley, Alexander E. I. Brownlee, David E. Cairns, Julie Cowie
2008	A	`conf`	Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. GECCO Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie
2007	—	`conf`	Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) Alexander E. I. Brownlee, John A. W. McCall, Deryck Forsyth Brown
2005	B	`conf`	Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall