Evolution strategy

Known as: Derandomized Evolution Strategy, Evolution Strategies 
In computer science, an evolution strategy (ES) is an optimization technique based on ideas of adaptation and evolution. It belongs to the general… (More)
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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… (More)
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Highly Cited
2005
Highly Cited
2005
This work presents a simple multimembered evolution strategy to solve global nonlinear optimization problems. The approach does… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper the performance of the CMA evolution strategy with rank-μ-update and weighted recombination is empirically… (More)
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Highly Cited
2003
Highly Cited
2003
This paper presents a novel evolutionary optimization strategy based on the derandomized evolution strategy with covariance… (More)
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Highly Cited
1999
Highly Cited
1999
We introduce a simple evolution scheme for multiobjective optimization problems, called the Pareto Archived Evolution Strategy… (More)
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Highly Cited
1999
Highly Cited
1999
Most popular evolutionary algorithms for multiobjective optimisation maintain a population of solutions from which individuals… (More)
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Highly Cited
1997
Highly Cited
1997
A new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented. By… (More)
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Highly Cited
1997
Highly Cited
1997
Evolution strategies are a class of general optimisation algorithms which are applicable to functions that are multimodal, non… (More)
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Highly Cited
1996
Highly Cited
1996
|A new formulation for coordinate system independent adaptation of arbitrary normal mutation distributions with zero mean is… (More)
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Highly Cited
1996
Highly Cited
1996
Find the secret to improve the quality of life by reading this evolutionary algorithms in theory and practice evolution… (More)
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