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ICML
2010
IEEE
15 years 7 months ago
A Simple Algorithm for Nuclear Norm Regularized Problems
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
Martin Jaggi, Marek Sulovský
CORR
2008
Springer
110views Education» more  CORR 2008»
15 years 6 months ago
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem
During our earlier research, it was recognised that in order to be successful with an indirect genetic algorithm approach using a decoder, the decoder has to strike a balance betw...
Uwe Aickelin, Kathryn A. Dowsland
ENDM
2008
93views more  ENDM 2008»
15 years 6 months ago
The Generalized Max-Controlled Set Problem
In this work we deal with sandwich graphs G = (V, E) and present the notion of vertices f-controlled by a subset M V . We introduce the generalized maxcontrolled set problem (gmc...
Ivairton M. Santos, Carlos A. J. Martinhon, Luiz S...
MP
2006
90views more  MP 2006»
15 years 6 months ago
Solving multistage asset investment problems by the sample average approximation method
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Jörgen Blomvall, Alexander Shapiro
SOCO
2012
Springer
14 years 2 months ago
Variable mesh optimization for continuous optimization problems
Abstract Population-based meta-heuristics are algorithms that can obtain very good results for complex continuous optimization problems in a reduced amount of time. These search al...
Amilkar Puris, Rafael Bello, Daniel Molina, Franci...