Mirrored Sampling in Evolution Strategies with Weighted Recombination, Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO '11), pp.861-868, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00612522
A restart CMA evolution strategy with increasing population size, IEEE Congress on Evolutionary Computation, vol.2, pp.1769-1776, 2005. ,
Quasi-random Mutations for Evolution Strategies, Artificial Evolution, 7th International Conference, Evolution Artificielle, EA 2005, vol.3871, pp.296-307, 2005. ,
URL : https://hal.archives-ouvertes.fr/inria-00000544
, Contemporary Evolution Strategies, 2013.
A medium-scale distributed system for computer science research: Infrastructure for the long term, Computer, vol.5, pp.54-63, 2016. ,
Experimental methods for the analysis of optimization algorithms, 2010. ,
The sequential parameter optimization toolbox. In Experimental methods for the analysis of optimization algorithms, pp.337-362, 2010. ,
Per instance algorithm configuration of CMA-ES with limited budget, Proc. of Genetic and Evolutionary Computation Conference (GECCO'17), pp.681-688, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01613753
Mirrored Sampling and Sequential Selection for Evolution Strategies. In Parallel Problem Solving from Nature, PPSN XI, pp.11-21, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00530202
Hyper-heuristics: a survey of the state of the art, JORS, vol.64, pp.1695-1724, 2013. ,
A graph-based hyper-heuristic for educational timetabling problems, European Journal of Operational Research, vol.176, pp.177-192, 2007. ,
CMA-ES with Two-Point Step-Size Adaptation, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00276854
Benchmarking a BI-population CMA-ES on the BBOB-2009 Function Testbed, Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers (GECCO '09), pp.2389-2396, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00382093
Dejan TuÅ?ar, and Tea TuÅ?ar, COCO: Performance Assessment, 2016. ,
Real-Parameter Black-Box Optimization Benchmarking, Experimental Setup. report. INRIA, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00462481
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, pp.1689-1696, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00545727
Completely Derandomized Self-Adaptation in Evolution Strategies, Evolutionary Computation, vol.9, pp.159-195, 2001. ,
Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412), Dagstuhl Reports, vol.6, pp.33-74, 2016. ,
Sequential modelbased optimization for general algorithm configuration, International Conference on Learning and Intelligent Optimization, pp.507-523, 2011. ,
Improving Evolution Strategies through Active Covariance Matrix Adaptation, 2006 IEEE International Conference on Evolutionary Computation, pp.2814-2821, 2006. ,
Automated Algorithm Selection: Survey and Perspectives, 2018. ,
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning, 2017. ,
Algorithm selection for black-box continuous optimization problems: a survey on methods and challenges, Information Sciences, vol.317, pp.224-245, 2015. ,
Evolution strategies with thresheld convergence, IEEE Congress on Evolutionary Computation (CEC, pp.2097-2104, 2015. ,
Modular CMA-ES framework from, 2018. ,
Towards an Adaptive CMA-ES Configurator, Proc. of 15th International Conference on Parallel Problem Solving from Nature (PPSN'18), vol.11101, pp.54-65, 2018. ,
Evolving the structure of Evolution Strategies, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 1-8, 2016. ,
A GitHub repository containing more data and experiments from this project is, 2019. ,
Mirrored Orthogonal Sampling with Pairwise Selection in Evolution Strategies, Proceedings of the 29th Annual ACM Symposium on Applied Computing (SAC '14), pp.154-156, 2014. ,