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GECCO
2011
Springer
224views Optimization» more  GECCO 2011»
13 years 11 days ago
Mirrored sampling in evolution strategies with weighted recombination
This paper introduces mirrored sampling into evolution strategies (ESs) with weighted multi-recombination. Two further heuristics are introduced: pairwise selection selects at mos...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
SEAL
1998
Springer
14 years 1 months ago
Robust Evolution Strategies
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda
TEC
2011
77views more  TEC 2011»
13 years 3 months ago
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
—Trial vector generation strategies and control parameters have a significant influence on the performance of differential evolution (DE). This paper studies whether the performa...
Yong Wang, Zixing Cai, Qingfu Zhang
GECCO
2010
Springer
193views Optimization» more  GECCO 2010»
14 years 1 months ago
Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comp
The choice of which of the available strategies should be used within the Differential Evolution algorithm for a given problem is not trivial, besides being problem-dependent and...
Álvaro Fialho, Marc Schoenauer, Michè...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 17 days 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