@inproceedings{13ffc3ceec9e43d592d9a23a5159f30a,
title = "Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES",
abstract = "The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization problem with multicriteria selection. Here, a generational and two steady-state selection schemes for the MO-CMA-ES are compared. Further, a recently proposed method for computationally efficient adaptation of the search distribution is evaluated in the context of the MO-CMA-ES.",
author = "Christian Igel and Thorsten Suttorp and Nikolaus Hansen",
year = "2007",
month = jan,
day = "1",
doi = "10.1007/978-3-540-70928-2\_16",
language = "English",
isbn = "9783540709275",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "171--185",
booktitle = "Evolutionary Multi-Criterion Optimization - 4th International Conference, EMO 2007, Proceedings",
note = "4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007 ; Conference date: 05-03-2007 Through 08-03-2007",
}