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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 8 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
ACCV
2009
Springer
15 years 11 months ago
Globally Optimal Spatio-temporal Reconstruction from Cluttered Videos
We propose a method for multi-view reconstruction from videos adapted to dynamic cluttered scenes under uncontrolled imaging conditions. Taking visibility into account and being ba...
Ehsan Aganj, Jean-Philippe Pons, Renaud Keriven
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 9 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
AE
2005
Springer
15 years 10 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
CEC
2010
IEEE
15 years 4 months ago
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi J...