54 search results - page 9 / 11 » Privacy-Preserving Multi-Objective Evolutionary Algorithms |
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
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 ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
61
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ISICA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. MOEA/D is a novel and successful Multi-Objective Evolutionary Algorithms(MOEA) which utilizes the idea of problem decomposition to tackle the complexity from multiple obj...
101
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GECCO
2004
Springer
15 years 2 months ago
2004
Springer
In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of mod...