Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Evolutionary Multi-Criterion Optimization : 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings |
Editors | Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata |
Number of pages | 15 |
Publisher | Springer |
Publication date | 2007 |
Pages | 171-185 |
ISBN (Print) | 978-3-540-70927-5 |
ISBN (Electronic) | 978-3-540-70928-2 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007 - Matsushima, Japan Duration: 5 Mar 2007 → 8 Mar 2007 |
Conference
Conference | 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007 |
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Land | Japan |
By | Matsushima |
Periode | 05/03/2007 → 08/03/2007 |
Series | Lecture notes in computer science |
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Volume | 4403 |
ISSN | 0302-9743 |
ID: 168563889