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GECCO
2004
Springer
14 years 2 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
PVLDB
2008
77views more  PVLDB 2008»
13 years 8 months ago
Efficient network aware search in collaborative tagging sites
The popularity of collaborative tagging sites presents a unique opportunity to explore keyword search in a context where query results are determined by the opinion of a network o...
Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lak...
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
14 years 16 days ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
IJHPCA
2007
116views more  IJHPCA 2007»
13 years 8 months ago
Parallel Languages and Compilers: Perspective From the Titanium Experience
We describe the rationale behind the design of key features of Titanium—an explicitly parallel dialect of JavaTM for high-performance scientific programming—and our experienc...
Katherine A. Yelick, Paul N. Hilfinger, Susan L. G...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 8 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic