ORCID as entered in ROS
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Select Publications
2024, 'A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour', in , pp. 115 - 129, http://dx.doi.org/10.1007/978-3-031-56855-8_7
,2023, 'A Test Suite for Multi-objective Multi-fidelity Optimization', in , pp. 361 - 373, http://dx.doi.org/10.1007/978-3-031-27250-9_26
,2024, 'A framework for design optimization across multiple concepts', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-57468-2
,2023, 'An Iterative Two-Stage Multifidelity Optimization Algorithm for Computationally Expensive Problems', IEEE Transactions on Evolutionary Computation, 27, pp. 520 - 534, http://dx.doi.org/10.1109/TEVC.2022.3170970
,2024, 'Using Bayesian Optimization to Improve Hyperparameter Search in TPOT', in Proceedings of the Genetic and Evolutionary Computation Conference, ACM, presented at GECCO '24: Genetic and Evolutionary Computation Conference, http://dx.doi.org/10.1145/3638529.3654061
,2023, 'Hybridizing TPOT with Bayesian Optimization', in GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pp. 502 - 510, http://dx.doi.org/10.1145/3583131.3590364
,2019, 'An improved merge search algorithm for the constrained pit problem in open-pit mining', in GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference, pp. 294 - 302, http://dx.doi.org/10.1145/3321707.3321812
,2018, 'A merge search algorithm and its application to the constrained pit problem in mining', in GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference, pp. 316 - 323, http://dx.doi.org/10.1145/3205455.3205538
,2017, 'Towards solving large-scale precedence constrained production scheduling problems in mining', in GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference, pp. 1137 - 1144, http://dx.doi.org/10.114S/3071178.3071241
,2017, 'A study on pre-training deep neural networks using particle swarm optimisation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 361 - 372, http://dx.doi.org/10.1007/978-3-319-68759-9_30
,2016, 'A population-based local search technique with random descent and jump for the steiner tree problem in graphs', in GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 333 - 340, http://dx.doi.org/10.1145/2908812.2908860
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