@inproceedings{a9525239e6d846c392e03fadf66ecb96,
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",
doi = "10.1007/978-3-540-70928-2_16",
language = "English",
isbn = "978-3-540-70927-5",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "171--185",
editor = "Shigeru Obayashi and Kalyanmoy Deb and Carlo Poloni and Tomoyuki Hiroyasu and Tadahiko Murata",
booktitle = "Evolutionary Multi-Criterion Optimization",
address = "Switzerland",
note = "4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007 ; Conference date: 05-03-2007 Through 08-03-2007",
}