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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 7 days ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 11 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
186
Voted
ACMSE
2005
ACM
15 years 8 months ago
An algorithm for baseline correction of MALDI mass spectra
Visualization and differentiation of proteins in tissue are problems of increasing interest in computational systems biology, bioinformatics, and image processing. A platform for ...
Betsy Williams, Shannon Cornett, Benoit M. Dawant,...
158
Voted
SIAMSC
2008
104views more  SIAMSC 2008»
15 years 6 months ago
Reducing Floating Point Error in Dot Product Using the Superblock Family of Algorithms
This paper discusses both the theoretical and statistical errors obtained by various well-known dot products, from the canonical to pairwise algorithms, and introduces a new and mo...
Anthony M. Castaldo, R. Clint Whaley, Anthony T. C...
ATAL
2011
Springer
14 years 6 months ago
Quality guarantees for region optimal DCOP algorithms
k- and t-optimality algorithms [9, 6] provide solutions to DCOPs that are optimal in regions characterized by its size and distance respectively. Moreover, they provide quality gu...
Meritxell Vinyals, Eric Shieh, Jesús Cerqui...