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GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 4 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
ARTMED
2002
121views more  ARTMED 2002»
14 years 9 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
EVOW
2008
Springer
14 years 11 months ago
Divide, Align and Full-Search for Discovering Conserved Protein Complexes
Advances in modern technologies for measuring protein-protein interaction (PPI) has boosted research in PPI networks analysis and comparison. One of the challenging problems in com...
Pavol Jancura, Jaap Heringa, Elena Marchiori
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 3 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett