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When faced with a specific optimization problem, choosing which algorithm to use is always a tough task.
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Hao Wang, Michael Emmerich, and Thomas Bäck, ‘Mirrored Orthogonal Sampling with Pairwise Selection in Evolution Strategies’, in SAC
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2017
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Hao Wang, Bas van Stein, Michael Emmerich, and Thomas Bäck, ‘A new acquisition function for bayesian optimization based on the moment-generating function’, in SMC
2017
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2018
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Modular CMA-ES framework from [ 38 ] , v0.3.0
Sander van Rijn · 2018
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2015
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Alejandro Piad-Morffis, Suilan Estévez-Velarde, Antonio Bolufé-Röhler, James Montgomery, and Stephen Chen, ‘Evolution strategies with thresheld convergence’, in CEC
2015
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Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tušar, and Tea Tušar, ‘COCO: Performance Assessment’, arXiv:1605.03560 [cs] · 2016
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Pascal Kerschke and Heike Trautmann, ‘The r-package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems’, in CEC
2016
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2016
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Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Leslie Pérez Cáceres, Mauro Birattari, and Thomas Stützle, ‘The irace package: Iterated racing for automatic algorithm configuration’, Operations Research Perspectives
2016
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Sander van Rijn, Hao Wang, Matthijs van Leeuwen, and Thomas Bäck, ‘Evolving the structure of Evolution Strategies’, in SSCI
2016
Cited alongside, same era.
Nacim Belkhir, Johann Dréo, Pierre Savéant, and Marc Schoenauer, ‘Per instance algorithm configuration of CMA-ES with limited budget’, in GECCO
2017
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Sander van Rijn, Carola Doerr, and Thomas Bäck, ‘Towards an adaptive cma-es configurator’, in PPSN
2018
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Hao Wang, Michael Emmerich, and Thomas Bäck, ‘Cooling strategies for the moment-generating function in bayesian global optimization’, in CEC
2018
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Katharina Eggensperger, Marius Lindauer, and Frank Hutter, ‘Pitfalls and best practices in algorithm configuration’, J. Artif. Intell. Res
2019
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Anja Janković and Carola Doerr, ‘Adaptive landscape analysis’, in GECCO Companion
2019
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Pascal Kerschke, Holger H. Hoos, Frank Neumann, and Heike Trautmann, ‘Automated algorithm selection: Survey and perspectives’, Evolutionary Computation
2019
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Zbynek Pitra, Jakub Repický, and Martin Holena, ‘Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy’, in GECCO
2019
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Quentin Renau, Johann Dreo, Carola Doerr, and Benjamin Doerr, ‘Expressiveness and robustness of landscape features’, in GECCO Companion
2019
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Diederick Vermetten, Sander van Rijn, Thomas Bäck, and Carola Doerr, ‘Online selection of CMA-ES variants’, in GECCO
2019
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to appear at SSCI 2020
Xin Guo, Bas van Stein, and Thomas Bäck, ‘A new approach towards the combined algorithm selection and hyper-parameter optimization problem’, (2020) · 2020
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