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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 8 months ago
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies
First, the covariance matrix adaptation (CMA) with rankone update is introduced into the (1+1)-evolution strategy. An improved implementation of the 1/5-th success rule is propose...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
EMO
2006
Springer
172views Optimization» more  EMO 2006»
13 years 8 months ago
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 prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
13 years 11 months ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
13 years 9 months ago
Active covariance matrix adaptation for the (1+1)-CMA-ES
We propose a novel variant of the (1 + 1)-CMA-ES that updates the distribution of mutation vectors based on both successful and unsuccessful trial steps. The computational costs o...
Dirk V. Arnold, Nikolaus Hansen
GECCO
2010
Springer
230views Optimization» more  GECCO 2010»
13 years 9 months ago
Exponential natural evolution strategies
The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness....
Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wiers...