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» Applying particle swarm optimization to software testing
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SYNTHESE
2008
84views more  SYNTHESE 2008»
14 years 11 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
PPSN
2004
Springer
15 years 5 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli
CEC
2010
IEEE
15 years 27 days ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
GECCO
2004
Springer
197views Optimization» more  GECCO 2004»
15 years 5 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...
IJCNN
2006
IEEE
15 years 5 months ago
Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO
—Static Var Compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines....
Tridib K. Das, Sandhya R. Jetti, Ganesh K. Venayag...