Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES

Christian Igel; Thorsten Suttorp; Nikolaus Hansen

doi:10.1007/978-3-540-70928-2_16

Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES

Christian Igel^*, Thorsten Suttorp, Nikolaus Hansen

^*Corresponding author af dette arbejde

34 Citationer (Scopus)

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.

Originalsprog	Engelsk
Titel	Evolutionary Multi-Criterion Optimization : 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings
Redaktører	Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata
Antal sider	15
Forlag	Springer
Publikationsdato	2007
Sider	171-185
ISBN (Trykt)	978-3-540-70927-5
ISBN (Elektronisk)	978-3-540-70928-2
DOI	https://doi.org/10.1007/978-3-540-70928-2_16
Status	Udgivet - 2007
Udgivet eksternt	Ja
Begivenhed	4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007 - Matsushima, Japan Varighed: 5 mar. 2007 → 8 mar. 2007

Konference

Konference	4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007
Land/Område	Japan
By	Matsushima
Periode	05/03/2007 → 08/03/2007

Navn	Lecture notes in computer science
Vol/bind	4403
ISSN	0302-9743

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10.1007/978-3-540-70928-2_16

Citationsformater

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

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 › peer review

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

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). doi: 10.1007/978-3-540-70928-2_16

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).

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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.",

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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.

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A2 - Obayashi, Shigeru

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Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES

Abstract

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