Active covariance matrix adaptation for the (1+1)-CMA-ES, Proceedings of the 12th annual conference on Genetic and evolutionary computation, GECCO '10, pp.385-392, 2010. ,
DOI : 10.1145/1830483.1830556
URL : https://hal.archives-ouvertes.fr/hal-00503250
Finite-time analysis of the multi-armed bandit problem, Machine Learning, vol.47, issue.2/3, pp.235-256, 2002. ,
DOI : 10.1023/A:1013689704352
Theory of the hypervolume indicator, Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, FOGA '09, pp.87-102, 2009. ,
DOI : 10.1145/1527125.1527138
URL : https://hal.archives-ouvertes.fr/inria-00430540
SMS-EMOA: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research, vol.181, issue.3, pp.1653-1669, 2007. ,
DOI : 10.1016/j.ejor.2006.08.008
Mirrored Sampling and Sequential Selection for Evolution Strategies, Parallel Problem Solving from Nature (PPSN XI), pp.11-20, 2010. ,
DOI : 10.1007/978-3-642-15844-5_2
URL : https://hal.archives-ouvertes.fr/inria-00530202
A Fast Elitist Multi-Objective Genetic Algorithm: NSGA-II, IEEE TEC, vol.6, pp.182-197, 2000. ,
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009, Proceedings of the 12th annual conference comp on Genetic and evolutionary computation, GECCO '10, pp.1689-1696, 2010. ,
DOI : 10.1145/1830761.1830790
URL : https://hal.archives-ouvertes.fr/hal-00545727
Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES), Evolutionary Computation, vol.11, issue.1, 2003. ,
DOI : 10.1162/106365601750190398
Completely Derandomized Self-Adaptation in Evolution Strategies, Evolutionary Computation, vol.9, issue.2, pp.159-195, 2001. ,
DOI : 10.1016/0004-3702(95)00124-7
Covariance Matrix Adaptation for Multi-objective Optimization, Evolutionary Computation, vol.15, issue.1, pp.1-28, 2007. ,
DOI : 10.1109/TEVC.2003.810758
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.453-460, 2006. ,
DOI : 10.1145/1143997.1144082
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES, LNCS, vol.4403, issue.07, pp.171-185, 2007. ,
DOI : 10.1007/978-3-540-70928-2_16
A tutorial on the performance assessment of stochastic multiobjective optimizers, 2006. ,
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II, IEEE Transactions on Evolutionary Computation, vol.13, issue.2, pp.284-302, 2009. ,
DOI : 10.1109/TEVC.2008.925798
A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity, Parallel Problem Solving from Nature (PPSN X), pp.296-305, 2008. ,
DOI : 10.1007/978-3-540-87700-4_30
URL : https://hal.archives-ouvertes.fr/inria-00287367
Adaptive step size random search. Automatic Control, IEEE Transactions on, vol.13, pp.270-276, 1968. ,
DOI : 10.1109/tac.1968.1098903
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.9779
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results, Evolutionary Computation, vol.8, issue.2, pp.173-195, 2000. ,
DOI : 10.1109/4235.797969
Multiobjective optimization using evolutionary algorithms ??? A comparative case study, LNCS, vol.1498, pp.292-301, 1998. ,
DOI : 10.1007/BFb0056872