# CMA-ES

## Papers overview

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2015

2015

- GECCO
- 2015

MOEA/D is an aggregation-based evolutionary algorithm which has been proved extremely efficient and effective for solving multiâ€¦Â (More)

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2013

2013

- IEEE Congress on Evolutionary Computation
- 2013

This paper investigates the performance of 6 versions of Covariance Matrix Adaptation Evolution Strategy (CMAES) with restarts onâ€¦Â (More)

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2012

2012

- PPSN
- 2012

This paper focuses on the restart strategy of CMA-ES on multi-modal functions. A first alternative strategy proceeds byâ€¦Â (More)

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2011

2011

- ArXiv
- 2011

This report considers how to inject external candidate solutions into the CMA-ES algorithm. The injected solutions might stemâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- GECCO
- 2009

We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population sizeâ€¦Â (More)

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2009

2009

- GECCO
- 2009

The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RLâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- PPSN
- 2008

This report proposes a simple modification of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for high dimensionalâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- IEEE Congress on Evolutionary Computation
- 2005

In this paper we introduce a restart-CMA-evolution strategy, where the population size is increased for each restart (IPOP). Byâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- PPSN
- 2004

In this paper the performance of the CMA evolution strategy with rank-Î¼-update and weighted recombination is empiricallyâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Evolutionary Computation
- 2003

This paper presents a novel evolutionary optimization strategy based on the derandomized evolution strategy with covarianceâ€¦Â (More)

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