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2020 – today
- 2024
[c19]Emma Hart
, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. PPSN (2) 2024: 121-136- [i3]Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. CoRR abs/2406.16609 (2024) - 2023
- [j5]Mohamad Alissa, Kevin Sim, Emma Hart:
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. J. Heuristics 29(1): 1-38 (2023) - [c18]Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features. EvoApplications@EvoStar 2023: 335-350 - [c17]Mohamad Alissa, Kevin Sim, Emma Hart:
A Feature-Free Approach to Automated Algorithm Selection. GECCO Companion 2023: 9-10 - [i2]Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features. CoRR abs/2302.09075 (2023) - 2022
- [j4]Peter Chapman, Kevin Sim, Huang Hao Chen:
Minimising line segments in linear diagrams is NP-hard. J. Comput. Lang. 71: 101136 (2022) - [c16]Kevin Sim, Emma Hart:
Evolutionary Approaches to Improving the Layouts of Instance-Spaces. PPSN (1) 2022: 207-219 - [d1]Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features - Dataset. Zenodo, 2022
- [i1]Mohamad Alissa, Kevin Sim, Emma Hart:
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. CoRR abs/2203.13392 (2022) - 2021
- [c15]Mohamad Alissa, Kevin Sim, Emma Hart:
A Neural Approach to Generation of Constructive Heuristics. CEC 2021: 1147-1154 - 2020
- [c14]Mohamad Alissa, Kevin Sim, Emma Hart:
A deep learning approach to predicting solutions in streaming optimisation domains. GECCO 2020: 157-165
2010 – 2019
- 2019
- [c13]Mohamad Alissa, Kevin Sim, Emma Hart:
Algorithm selection using deep learning without feature extraction. GECCO 2019: 198-206 - 2018
- [j3]Emma Hart, Kevin Sim:
On Constructing Ensembles for Combinatorial Optimisation. Evol. Comput. 26(1) (2018) - [e6]Kevin Sim, Paul Kaufmann:
Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings. Lecture Notes in Computer Science 10784, Springer 2018, ISBN 978-3-319-77537-1 [contents] - 2017
- [c12]Emma Hart, Kevin Sim:
On constructing ensembles for combinatorial optimisation. GECCO (Companion) 2017: 5-6 - [c11]Emma Hart, Kevin Sim, Barry Gardiner, Kana Kamimura:
A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. GECCO 2017: 1121-1128 - [e5]Giovanni Squillero, Kevin Sim:
Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10199, 2017, ISBN 978-3-319-55848-6 [contents] - [e4]Giovanni Squillero, Kevin Sim:
Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10200, 2017, ISBN 978-3-319-55791-5 [contents] - 2016
- [j2]Emma Hart, Kevin Sim:
A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling. Evol. Comput. 24(4): 609-635 (2016) - [c10]Ahmed Salah, Emma Hart, Kevin Sim:
Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms. EvoApplications (2) 2016: 11-26 - [c9]Kevin Sim, Emma Hart:
A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem. GECCO 2016: 1093-1100 - [e3]Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim:
Genetic Programming - 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings. Lecture Notes in Computer Science 9594, Springer 2016, ISBN 978-3-319-30667-4 [contents] - 2015
- [j1]Kevin Sim, Emma Hart, Ben Paechter:
A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evol. Comput. 23(1): 37-67 (2015) - [c8]Kevin Sim, Emma Hart:
A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules. GECCO (Companion) 2015: 1485-1486 - [e2]Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim:
Genetic Programming - 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Lecture Notes in Computer Science 9025, Springer 2015, ISBN 978-3-319-16500-4 [contents] - 2014
- [b1]Kevin Sim:
Novel hyper-heuristics applied to the domain of bin packing. Edinburgh Napier University, UK, 2014 - [c7]Kevin Sim, Emma Hart:
An improved immune inspired hyper-heuristic for combinatorial optimisation problems. GECCO 2014: 121-128 - [c6]Emma Hart, Kevin Sim, Neil Urquhart:
A real-world employee scheduling and routing application. GECCO (Companion) 2014: 1239-1242 - [c5]Emma Hart, Kevin Sim:
On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation System. PPSN 2014: 282-291 - [e1]Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli, Pablo García-Sánchez, Juan Julián Merelo Guervós, Víctor Manuel Rivas Santos, Kevin Sim:
Genetic Programming - 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8599, Springer 2014, ISBN 978-3-662-44302-6 [contents] - 2013
- [c4]Kevin Sim, Emma Hart, Ben Paechter:
Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic. ECAL 2013: 856-863 - [c3]Kevin Sim, Emma Hart:
Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model. GECCO 2013: 1549-1556 - 2012
- [c2]Kevin Sim, Emma Hart, Ben Paechter:
A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution. PPSN (2) 2012: 348-357 - 2011
- [c1]Kevin Sim:
Asynchronous Idiotypic Network Simulator. BIONETICS 2011: 248-251
Coauthor Index
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last updated on 2024-10-30 20:33 CET by the dblp team
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