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» An evolutionary method for complex-process optimization
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GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 6 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
131
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 8 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2004
Springer
197views Optimization» more  GECCO 2004»
15 years 8 months ago
Applying Evolutionary Testing to Search for Critical Defects
Software systems are used regularly in safety-relevant applications. Therefore, the occurrence of critical defects may not only cause costly recalls but may also endanger human liv...
André Baresel, Harmen Sthamer, Joachim Wege...
CEC
2010
IEEE
15 years 2 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...