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Alexander E. I. Brownlee
Alexander Edward Ian Brownlee
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- affiliation: University of Stirling, UK
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2020 – today
- 2024
- [j15]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): 28 (2024) - [j14]Jaume Bacardit
, Alexander E. I. Brownlee
Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4(1): 1:1-1:2 (2024) - [c58]Giancarlo Antonino Pasquale Ignazio Catalano
Mining Potentially Explanatory Patterns via Partial Solutions. GECCO Companion 2024: 567-570 - [c57]Alexander Edward Ian Brownlee
Genetic Improvement: Taking real-world source code and improving it using computational search methods. GECCO Companion 2024: 1197-1230 - [c56]Jason Adair
Explaining evolutionary feature selection via local optima networks. GECCO Companion 2024: 1573-1581 - [c55]Alexander E. I. Brownlee
A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. GECCO Companion 2024: 1695-1701 - [i10]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 abs/2401.15675 (2024) - [i9]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 abs/2402.05048 (2024) - [i8]GianCarlo Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie:
Mining Potentially Explanatory Patterns via Partial Solutions. CoRR abs/2404.04388 (2024) - [i7]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 abs/2406.07811 (2024) - 2023
- [j13]Justyna Petke
Program transformation landscapes for automated program modification using Gin. Empir. Softw. Eng. 28(4): 104 (2023) - [j12]Xinwei Wang
An Interval Type-2 Fuzzy Logic-Based Map Matching Algorithm for Airport Ground Movements. IEEE Trans. Fuzzy Syst. 31(2): 582-595 (2023) - [c54]Kevin Carrie Graham
Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. GECCO Companion 2023: 67-68 - [c53]Alexander E. I. Brownlee
Genetic Improvement: Taking real-world source code and improving it using computational search methods. GECCO Companion 2023: 1213-1247 - [c52]Martin Fyvie
Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. GECCO Companion 2023: 1648-1656 - [c51]Sarah L. Thomson
From Fitness Landscapes to Explainable AI and Back. GECCO Companion 2023: 1663-1667 - [c50]Myles Watkinson, Alexander E. I. Brownlee:
Updating Gin's profiler for current Java. GI 2023: 23-28 - [c49]Martin Fyvie
Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. SGAI Conf. 2023: 275-290 - [c48]Dominik Sobania
Evaluating Explanations for Software Patches Generated by Large Language Models. SSBSE 2023: 147-152 - [c47]Alexander E. I. Brownlee
Enhancing Genetic Improvement Mutations Using Large Language Models. SSBSE 2023: 153-159 - [i6]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 abs/2306.02308 (2023) - [i5]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 abs/2310.19813 (2023) - [i4]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 abs/2311.16958 (2023) - 2022
- [j11]Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson
Metaheuristics "In the Large". Eur. J. Oper. Res. 297(2): 393-406 (2022) - [j10]Alexander E. I. Brownlee
A systematic approach to parameter optimization and its application to flight schedule simulation software. J. Heuristics 28(4): 509-538 (2022) - [c46]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: 1357-1384 - [c45]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: 1757-1762 - [c44]Manjinder Singh
Towards explainable metaheuristic: mining surrogate fitness models for importance of variables. GECCO Companion 2022: 1785-1793 - [i3]Alexander E. I. Brownlee, Martin Pelikan
An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy. CoRR abs/2205.08438 (2022) - [i2]Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns:
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables. CoRR abs/2206.14135 (2022) - 2021
- [j9]Alexander E. I. Brownlee:
Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant. ACM SIGSOFT Softw. Eng. Notes 46(4): 28-30 (2021) - [c43]Sæmundur Óskar Haraldsson, Alexander E. I. Brownlee, John R. Woodward, Markus Wagner
Genetic improvement: taking real-world source code and improving it using genetic programming. GECCO Companion 2021: 786-817 - [c42]Alexander E. I. Brownlee, Jason Adair, Saemundur O. Haraldsson, John Jabbo:
Exploring the Accuracy - Energy Trade-off in Machine Learning. GI@ICSE 2021: 11-18 - [c41]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: 58-72 - [c40]Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns:
Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. SICSA XAI 2021: 64-70 - 2020
- [j8]Gabriela Ochoa, Lee A. Christie, Alexander E. I. Brownlee, Andrew Hoyle:
Multi-objective evolutionary design of antibiotic treatments. Artif. Intell. Medicine 102: 101759 (2020) - [j7]Alexander E. I. Brownlee
A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements. Appl. Soft Comput. 96: 106650 (2020) - [j6]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: 106549 (2020) - [j5]Alexander E. I. Brownlee
Conflict-free routing of multi-stop warehouse trucks. Optim. Lett. 14(6): 1459-1470 (2020) - [c39]Alexander E. I. Brownlee, Justyna Petke
Injecting Shortcuts for Faster Running Java Code. CEC 2020: 1-8 - [i1]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 abs/2011.09821 (2020)
2010 – 2019
- 2019
- [c38]Alexander E. I. Brownlee, Suk-Jun Kim
Crowd-sourcing the sounds of places with a web-based evolutionary algorithm. GECCO (Companion) 2019: 131-132 - [c37]Alexander E. I. Brownlee, Justyna Petke
Gin: genetic improvement research made easy. GECCO 2019: 985-993 - [c36]Kenneth N. Reid
A hybrid metaheuristic approach to a real world employee scheduling problem. GECCO 2019: 1311-1318 - [c35]Justyna Petke
A survey of genetic improvement search spaces. GECCO (Companion) 2019: 1715-1721 - [c34]Justyna Petke
Software Improvement with Gin: A Case Study. SSBSE 2019: 183-189 - 2018
- [c33]Jason Adair
Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces. EvoApplications 2018: 63-77 - [c32]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: 135-136 - [c31]Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward:
Investigating benchmark correlations when comparing algorithms with parameter tuning. GECCO (Companion) 2018: 209-210 - [c30]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: 1207-1213 - 2017
- [j4]Alexander E. I. Brownlee, Nathan Burles, Jerry Swan:
Search-Based Energy Optimization of Some Ubiquitous Algorithms. IEEE Trans. Emerg. Top. Comput. Intell. 1(3): 188-201 (2017) - [c29]Saemundur O. Haraldsson
Exploring Fitness and Edit Distance of Mutated Python Programs. EuroGP 2017: 19-34 - [c28]Saemundur O. Haraldsson
Fixing bugs in your sleep: how genetic improvement became an overnight success. GECCO (Companion) 2017: 1513-1520 - [c27]Saemundur O. Haraldsson
Genetic improvement of runtime and its fitness landscape in a bioinformatics application. GECCO (Companion) 2017: 1521-1528 - [c26]Saemundur O. Haraldsson
The Use of Automatic Test Data Generation for Genetic Improvement in a Live System. SBST@ICSE 2017: 28-31 - [c25]Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa:
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. MOD 2017: 186-197 - 2016
- [c24]John R. Woodward, Colin G. Johnson
GP vs GI: If You Can't Beat Them, Join Them. GECCO (Companion) 2016: 1155-1156 - [c23]John R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson
Evals is Not Enough: Why We Should Report Wall-clock Time. GECCO (Companion) 2016: 1157-1158 - [c22]Alexander E. I. Brownlee:
Mining Markov Network Surrogates for Value-Added Optimisation. GECCO (Companion) 2016: 1267-1274 - [c21]John R. Woodward, Colin G. Johnson
Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming. GECCO (Companion) 2016: 1357-1358 - [c20]Jason Adair, Alexander E. I. Brownlee, Gabriela Ochoa
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces. UKCI 2016: 287-307 - 2015
- [j3]Alexander E. I. Brownlee
Constrained, mixed-integer and multi-objective optimisation of building designs by NSGA-II with fitness approximation. Appl. Soft Comput. 33: 114-126 (2015) - [c19]Alexander E. I. Brownlee, John A. W. McCall
Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems. CEC 2015: 2066-2073 - [c18]John A. W. McCall
Generating Easy and Hard Problems using the Proximate Optimality Principle. GECCO (Companion) 2015: 767-768 - [c17]Nathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen
Embedded Dynamic Improvement. GECCO (Companion) 2015: 831-832 - [c16]Alexander E. I. Brownlee, John R. Woodward, Jerry Swan:
Metaheuristic Design Pattern: Surrogate Fitness Functions. GECCO (Companion) 2015: 1261-1264 - [c15]Zoltan A. Kocsis, Alexander E. I. Brownlee, Jerry Swan, Richard Senington:
Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics. SSBSE 2015: 125-140 - [c14]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: 255-261 - 2014
- [c13]Alexander E. I. Brownlee
Hyperion2: a toolkit for {meta-, hyper-} heuristic research. GECCO (Companion) 2014: 1133-1140 - [c12]Zoltan A. Kocsis, Geoffrey Neumann, Jerry Swan, Michael G. Epitropakis, Alexander E. I. Brownlee, Saemundur O. Haraldsson
Repairing and Optimizing Hadoop hashCode Implementations. SSBSE 2014: 259-264 - 2013
- [j2]Alexander E. I. Brownlee
An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. 44(11): 2039-2056 (2013) - [j1]Alexander E. I. Brownlee
Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. 17(6): 862-879 (2013) - 2012
- [c11]Alexander E. I. Brownlee
Influence of selection on structure learning in markov network EDAs: an empirical study. GECCO 2012: 249-256 - 2011
- [c10]Alexander E. I. Brownlee
A multi-objective window optimisation problem. GECCO (Companion) 2011: 89-90 - 2010
- [c9]Alexander E. I. Brownlee
Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [b1]Alexander E. I. Brownlee:
Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. Robert Gordon University, Aberdeen, UK, 2009 - [c8]Alexander E. I. Brownlee
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation 2009: 447-454 - [c7]Siddhartha Shakya
A fully multivariate DEUM algorithm. IEEE Congress on Evolutionary Computation 2009: 479-486 - 2008
- [c6]Alexander E. I. Brownlee
Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2621-2628 - [c5]Yanghui Wu, John A. W. McCall
Bio-control in mushroom farming using a Markov network EDA. IEEE Congress on Evolutionary Computation 2008: 2991-2996 - [c4]Alexander E. I. Brownlee, Martin Pelikan
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. GECCO 2008: 463-464 - [c3]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: 465-466 - 2007
- [c2]Alexander E. I. Brownlee
Solving the MAXSAT problem using a multivariate EDA based on Markov networks. GECCO (Companion) 2007: 2423-2428 - 2005
- [c1]Andrei Petrovski
Statistical optimisation and tuning of GA factors. Congress on Evolutionary Computation 2005: 758-764
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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