Standard
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES. / Igel, Christian; Suttorp, Thorsten; Hansen, Nikolaus.
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. red. / Shigeru Obayashi; Kalyanmoy Deb; Carlo Poloni; Tomoyuki Hiroyasu; Tadahiko Murata. Springer, 2007. s. 171-185 (Lecture notes in computer science, Bind 4403).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Igel, C, Suttorp, T & Hansen, N 2007,
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES. i S Obayashi, K Deb, C Poloni, T Hiroyasu & T Murata (red),
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. Springer, Lecture notes in computer science, bind 4403, s. 171-185, 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, Matsushima, Japan,
05/03/2007.
https://doi.org/10.1007/978-3-540-70928-2_16
APA
Igel, C., Suttorp, T., & Hansen, N. (2007).
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES. I S. Obayashi, K. Deb, C. Poloni, T. Hiroyasu, & T. Murata (red.),
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings (s. 171-185). Springer. Lecture notes in computer science Bind 4403
https://doi.org/10.1007/978-3-540-70928-2_16
Vancouver
Igel C, Suttorp T, Hansen N.
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES. I Obayashi S, Deb K, Poloni C, Hiroyasu T, Murata T, red., Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. Springer. 2007. s. 171-185. (Lecture notes in computer science, Bind 4403).
https://doi.org/10.1007/978-3-540-70928-2_16
Author
Igel, Christian ; Suttorp, Thorsten ; Hansen, Nikolaus. / Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES. Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. red. / Shigeru Obayashi ; Kalyanmoy Deb ; Carlo Poloni ; Tomoyuki Hiroyasu ; Tadahiko Murata. Springer, 2007. s. 171-185 (Lecture notes in computer science, Bind 4403).
Bibtex
@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",
}
RIS
TY - GEN
T1 - Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES
AU - Igel, Christian
AU - Suttorp, Thorsten
AU - Hansen, Nikolaus
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-540-70928-2_16
DO - 10.1007/978-3-540-70928-2_16
M3 - Article in proceedings
AN - SCOPUS:37249086187
SN - 978-3-540-70927-5
T3 - Lecture notes in computer science
SP - 171
EP - 185
BT - Evolutionary Multi-Criterion Optimization
A2 - Obayashi, Shigeru
A2 - Deb, Kalyanmoy
A2 - Poloni, Carlo
A2 - Hiroyasu, Tomoyuki
A2 - Murata, Tadahiko
PB - Springer
T2 - 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007
Y2 - 5 March 2007 through 8 March 2007
ER -