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2006
Springer

Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES

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Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
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.
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where EMO
Authors Christian Igel, Thorsten Suttorp, Nikolaus Hansen
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