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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 9 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
CORR
2010
Springer
87views Education» more  CORR 2010»
13 years 3 months ago
Using Evolution Strategy with Meta-models for Well Placement Optimization
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
ISCI
2008
130views more  ISCI 2008»
13 years 5 months ago
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
Weishan Dong, Xin Yao
CEC
2010
IEEE
13 years 6 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
GLOBECOM
2009
IEEE
14 years 2 days ago
Interference Subspace Tracking for Network Interference Alignment in Cellular Systems
— In this paper, a practical solution to implement the distributed interference alignment (IA) algorithm of [1] in a cellular communication system is proposed. In the training pe...
Bo Niu, Alexander M. Haimovich