Intelligent Mutation Rate Control in Canonical Genetic Algorithms, International Symposium on Foundations of Intelligent Systems (ISMIS'96), vol.1079, pp.158-167, 1996. ,
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis, Journal of Machine Learning Research, vol.18, pp.1-36, 2017. ,
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process, Proceedings of the 31 International Conference on Machine Learning, vol.32, pp.1026-1034, 2014. ,
Imprecise Dirichlet process with application to the hypothesis test on the probability that X ? Y, Journal of Statistical Theory and Practice, vol.9, pp.658-684, 2015. ,
Bayesian Inference for Algorithm Ranking Analysis, Proc. of Genetic and Evolutionary Computation Conference, Companion (GECCO'18), pp.324-325, 2018. ,
Joint Analysis of Multiple Algorithms and Performance Measures, New Generation Computing, vol.35, pp.69-86, 2016. ,
Statistical Comparisons of Classifiers over Multiple Data Sets, Journal of Machine Learning Research, vol.7, pp.1-30, 2006. ,
Optimal Static and Self-Adjusting Parameter Choices for the (1 + (?, ?)) Genetic Algorithm, Algorithmica, vol.80, pp.1658-1709, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01668262
From black-box complexity to designing new genetic algorithms, Theoretical Computer Science, vol.567, pp.87-104, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01272858
The (1 + ?) Evolutionary Algorithm with Self-Adjusting Mutation Rate, Proc. of Genetic and Evolutionary Computation Conference (GECCO'17), pp.1351-1358, 2017. ,
Fast genetic algorithms, Proc. of Genetic and Evolutionary Computation Conference (GECCO'17), pp.777-784, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01797913
, IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics, 2018.
, Benchmarking Discrete Optimization Heuristics with IOHprofiler. under submission, vol.13, 2019.
An extension on 'statistical comparisons of classifiers over multiple data sets' for all pairwise comparisons, Journal of Machine Learning Research, vol.9, pp.2677-2694, 2008. ,
Genetic Algorithms in Search, Optimization, and Machine Learning, 1989. ,
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations, European Journal of Epidemiology, vol.31, pp.337-350, 2016. ,
Comparing Results of 31 Algorithms from the Black-box Optimization Benchmarking BBOB-2009, Proceedings of the 12th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '10), pp.1689-1696, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00545727
Sampling and Learning Distance-based Probability Models for Permutation Spaces, 2014. ,
100 Statistical Tests, 2006. ,
Introduction to Probability and Statistics from a Bayesian Viewpoint: Inference, vol.2, 1965. ,
Individual Choice Behavior, 1959. ,
The Analysis of Permutations, Journal of the Royal Statistical Society, vol.24, pp.193-202, 1975. ,
Nevergrad -A gradient-free optimization platform, 2018. ,
Optil.io: Cloud Based Platform For Solving Optimization Problems Using Crowdsourcing Approach, Proc. of ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW'16, pp.433-436, 2016. ,
Optimization Benchmarking, 2016. ,
Introductory Statistics for EC: A Visual Approach, Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18), pp.649-684, 2018. ,
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation, Proc. Conference on Evolutionary Computation (CEC'19), 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02298570