Evolving patches for software repair. - Thomas Ackling; Bradley Alexander; Ian Grunert (GECCO, 2011)

Application of evolutionary methods to 3D geoscience modelling. - Bradley Alexander; Stephan Thiel; Jared R. Peacock (GECCO, 2012)

The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation. - Aneta Neumann; Bradley Alexander; Frank Neumann 001 (ICONIP (3), 2016)

Evolutionary Image Transition Based on Theoretical Insights of Random Processes. - Aneta Neumann; Bradley Alexander; Frank Neumann 001 (CoRR, 2016)

Evolutionary Image Transition Using Random Walks. - Aneta Neumann; Bradley Alexander; Frank Neumann 001 (EvoMUSART, 2017)

Evolution of artistic image variants through feature based diversity optimisation. - Bradley Alexander; James Kortman; Aneta Neumann (GECCO, 2017)

Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept. - Mahmoud A. Bokhari; Bobby R. Bruce; Bradley Alexander; Markus Wagner 007 (GECCO (Companion), 2017)

Validation of Internal Meters of Mobile Android Devices. - Mahmoud A. Bokhari; Yuanzhong Xia; Bo Zhou; Bradley Alexander; Markus Wagner 007 (CoRR, 2017)

Using unstructured practice plus reflection to develop programming/problem-solving fluency. - Cruz Izu; Bradley Alexander (ACE, 2018)

A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. - Mehdi Neshat; Bradley Alexander; Markus Wagner 007; Yuanzhong Xia (GECCO, 2018)

Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network. - Aneta Neumann; Christo Pyromallis; Bradley Alexander (ICONIP (6), 2018)

In-vivo and offline optimisation of energy use in the presence of small energy signals: A case study on a popular Android library. - Mahmoud A. Bokhari; Bradley Alexander; Markus Wagner 007 (MobiQuitous, 2018)

Evolution of Images with Diversity and Constraints Using a Generator Network. - Aneta Neumann; Christo Pyromallis; Bradley Alexander (CoRR, 2018)

A Cell-Division Search Technique for Inversion with Application to Picture-Discovery and Magnetotellurics. - Bradley Alexander; Yang Heng Lee (CoRR, 2018)

Mind the gap - a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance. - Mahmoud A. Bokhari; Lujun Weng; Markus Wagner 007; Bradley Alexander (CEC, 2019)

A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (GECCO, 2019)

Evolving Pictures in Image Transition Space. - Bradley Alexander; David Hin; Aneta Neumann; Safwan Ull-Karim (ICONIP (1), 2019)

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. - Mehdi Neshat; Ehsan Abbasnejad; Qinfeng Shi; Bradley Alexander; Markus Wagner 007 (ICONIP (2), 2019)

A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (CoRR, 2019)

Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization. - Mehdi Neshat; Bradley Alexander; Angus R. Simpson (CoRR, 2019)

A software tool for assessing the performance of and implementing water distribution system solution methods. - Mengning Qiu; Bradley Alexander; Angus R. Simpson; Sylvan Elhay (Environ. Model. Softw., 2019)

Inverting magnetotelluric responses in a three-dimensional earth using fast forward approximations based on artificial neural networks. - Dennis Conway; Bradley Alexander; Michael King; Graham S. Heinson; Yang Kee (Comput. Geosci., 2019)

Wave Energy Converters. - Mehdi Neshat; Markus Wagner 007; Bradley Alexander (UCI Machine Learning Repository, 2019)

Optimisation of large wave farms using a multi-strategy evolutionary framework. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (GECCO, 2020)

Design optimisation of a multi-mode wave energy converter. - Nataliia Y. Sergiienko; Mehdi Neshat; Leandro S. P. da Silva; Bradley Alexander; Markus Wagner 007 (CoRR, 2020)

An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. - Mehdi Neshat; Meysam Majidi Nezhad; Ehsan Abbasnejad; Lina Bertling Tjernberg; Davide Astiaso Garcia; Bradley Alexander; Markus Wagner 007 (CoRR, 2020)

Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. - Mehdi Neshat; Meysam Majidi Nezhad; Ehsan Abbasnejad; Daniele Groppi; Azim Heydari; Lina Bertling Tjernberg; Davide Astiaso Garcia; Bradley Alexander; Markus Wagner 007 (CoRR, 2020)

Evolutionary Image Transition and Painting Using Random Walks. - Aneta Neumann; Bradley Alexander; Frank Neumann 001 (Evol. Comput., 2020)

A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters. - Mehdi Neshat; Bradley Alexander; Markus Wagner 007 (Inf. Sci., 2020)

New insights into position optimisation of wave energy converters using hybrid local search. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (Swarm Evol. Comput., 2020)

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 007; Bradley Alexander (GECCO Companion, 2021)

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 001 (GECCO Companion, 2022)

Using Assignment Design as an Instrument to Collect Student Voice. - Rita Garcia; Bradley Alexander (SIGCSE (1), 2022)

A Hybrid Distributed EA Approach for Energy Optimisation on Smartphones. - Mahmoud A. Bokhari; Bradley Alexander (Empir. Softw. Eng., 2022)

Large-scale Wave Energy Farm. - Mehdi Neshat; Bradley Alexander; Nataliia Y. Sergiienko; Markus Wagner 007 (UCI Machine Learning Repository, 2023)