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» On Using Populations of Sets in Multiobjective Optimization
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SOCO
2012
Springer
13 years 7 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...
HIPEAC
2007
Springer
15 years 6 months ago
MiDataSets: Creating the Conditions for a More Realistic Evaluation of Iterative Optimization
Abstract. Iterative optimization has become a popular technique to obtain improvements over the default settings in a compiler for performance-critical applications, such as embedd...
Grigori Fursin, John Cavazos, Michael F. P. O'Boyl...
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 5 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 6 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...