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CMA-ES

Known as: CMA, Covariance Matrix Adaptation Evolution Strategy, Covariance matrix adaptation 
CMA-ES stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative-free methods for numerical… Expand
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Highly Cited
2016
Highly Cited
2016
Hyperparameters of deep neural networks are often optimized by grid search, random search or Bayesian optimization. As an… Expand
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Highly Cited
2013
Highly Cited
2013
  • I. Loshchilov
  • IEEE Congress on Evolutionary Computation
  • 2013
  • Corpus ID: 2463327
This paper investigates the performance of 6 versions of Covariance Matrix Adaptation Evolution Strategy (CMAES) with restarts on… Expand
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Highly Cited
2010
Highly Cited
2010
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous… Expand
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2010
2010
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not… Expand
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Highly Cited
2009
Highly Cited
2009
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size… Expand
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Highly Cited
2009
Highly Cited
2009
This paper describes the results of initial experiments to apply computational algorithms to explore a large parameter space… Expand
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Highly Cited
2008
Highly Cited
2008
This paper proposes a simple modification of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for high dimensional… Expand
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Highly Cited
2006
Highly Cited
2006
First, the covariance matrix adaptation (CMA) with rank-one update is introduced into the (1+1)-evolution strategy. An improved… Expand
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Highly Cited
2005
Highly Cited
2005
In this paper we introduce a restart-CMA-evolution strategy, where the population size is increased for each restart (IPOP). By… Expand
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Highly Cited
2005
Highly Cited
2005
We propose novel cooperative transmission protocols for delay-limited coherent fading channels consisting of N (half-duplex and… Expand
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