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We present a first proof-of-concept use-case that demonstrates the efficiency of interfacing the algorithm framework ParadisEO with the automated algorithm configuration tool irace and the experimental platform IOHprofiler.
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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 3
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2020
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Benjamin Doerr, Carola Doerr, and Jing Yang, Optimal parameter choices via precise black-box analysis , Theoretical Computer Science 801
2020
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Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, and Thomas Bäck, Benchmarking discrete optimization heuristics with iohprofiler , Applied Soft Computing 88
2020
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Tome Eftimov, Gasper Petelin, and Peter Korosec, Dsctool: A web-service-based framework for statistical comparison of stochastic optimization algorithms , Appl. Soft Comput. 87
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Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tušar, and Dimo Brockhoff, COCO: a platform for comparing continuous optimizers in a black-box setting , Optimization Methods and Software (2020), 1–31
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Thomas Weise, Yan Chen, Xinlu Li, and Zhize Wu, Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms , Appl. Soft Comput. 92
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2020
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Furong Ye, Hao Wang, Carola Doerr, and Thomas Bäck, Benchmarking a ( μ + λ ) (\mu+\lambda) genetic algorithm with configurable crossover probability , Proc. of Parallel Problem Solving from Nature (PPSN’20), LNCS, vol. 12270, Springer, 2020, pp. 699–713
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