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TEC
2011
77views more  TEC 2011»
14 years 4 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»
15 years 2 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»
15 years 1 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
GECCO
2010
Springer
214views Optimization» more  GECCO 2010»
15 years 1 months ago
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
Edgar Reehuis, Thomas Bäck
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 2 months ago
Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed
In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimiza...
Anne Auger