Alexander E. I. Brownlee

According to our database1, Alexander E. I. Brownlee authored at least 49 papers between 2005 and 2020.

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Bibliography

2020
Conflict-free routing of multi-stop warehouse trucks.
Optim. Lett., 2020

Towards Metaheuristics "In the Large".
CoRR, 2020

Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation.
Comput. Ind. Eng., 2020

A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements.
Appl. Soft Comput., 2020

Multi-objective evolutionary design of antibiotic treatments.
Artif. Intell. Medicine, 2020

Injecting Shortcuts for Faster Running Java Code.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Software Improvement with Gin: A Case Study.
Proceedings of the Search-Based Software Engineering - 11th International Symposium, 2019

A hybrid metaheuristic approach to a real world employee scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A survey of genetic improvement search spaces.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Gin: genetic improvement research made easy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Crowd-sourcing the sounds of places with a web-based evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Investigating benchmark correlations when comparing algorithms with parameter tuning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Relating training instances to automatic design of algorithms for bin packing via features.
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.
Proceedings of the Applications of Evolutionary Computation, 2018

2017
Search-Based Energy Optimization of Some Ubiquitous Algorithms.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

The Use of Automatic Test Data Generation for Genetic Improvement in a Live System.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Fixing bugs in your sleep: how genetic improvement became an overnight success.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Exploring Fitness and Edit Distance of Mutated Python Programs.
Proceedings of the Genetic Programming - 20th European Conference, 2017

2016
Evolutionary Algorithms with Linkage Information for Feature Selection in Brain Computer Interfaces.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

GP vs GI: If You Can't Beat Them, Join Them.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evals is Not Enough: Why We Should Report Wall-clock Time.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Mining Markov Network Surrogates for Value-Added Optimisation.
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.
Appl. Soft Comput., 2015

Haiku - a Scala Combinator Toolkit for Semi-automated Composition of Metaheuristics.
Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Object-Oriented Genetic Improvement for Improved Energy Consumption in Google Guava.
Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Generating Easy and Hard Problems using the Proximate Optimality Principle.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Embedded Dynamic Improvement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Metaheuristic Design Pattern: Surrogate Fitness Functions.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Repairing and Optimizing Hadoop hashCode Implementations.
Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

Hyperion2: a toolkit for {meta-, hyper-} heuristic research.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Fitness Modeling With Markov Networks.
IEEE Trans. Evol. Comput., 2013

An application of a GA with Markov network surrogate to feature selection.
Int. J. Syst. Sci., 2013

2012
Influence of selection on structure learning in markov network EDAs: an empirical study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
A multi-objective window optimisation problem.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm.
PhD thesis, 2009

A fully multivariate DEUM algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Structure learning and optimisation in a Markov-network based estimation of distribution algorithm.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Bio-control in mushroom farming using a Markov network EDA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Solving the MAXSAT problem using a multivariate EDA based on Markov networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2005
Statistical optimisation and tuning of GA factors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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