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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher
DATE
2009
IEEE
129views Hardware» more  DATE 2009»
14 years 2 months ago
Energy minimization for real-time systems with non-convex and discrete operation modes
—We present an optimal methodology for dynamic voltage scheduling problem in the presence of realistic assumption such as leakage-power and intra-task overheads. Our contribution...
Foad Dabiri, Alireza Vahdatpour, Miodrag Potkonjak...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 7 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
EVOW
2007
Springer
14 years 1 months ago
A Hybrid Method for Solving Large-Scale Supply Chain Problems
Abstract. The strategic supply chain design problem which allows capacity shifts and budget limitations can be formulated as a linear program. Since facilities are allowed to be op...
Steffen Wolf, Peter Merz