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GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
16 years 25 days 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
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
16 years 1 days ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
EC
2006
136views ECommerce» more  EC 2006»
15 years 6 months ago
Error Thresholds in Genetic Algorithms
The error threshold of replication is an important notion of the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an e...
Gabriela Ochoa
BIOINFORMATICS
2002
100views more  BIOINFORMATICS 2002»
15 years 6 months ago
Optimal algorithms for local vertex quartet cleaning
Reconstructing evolutionary trees is an important problem in biology. A response to the computational intractability of most of the traditional criteria for inferring evolutionary...
Gianluca Della Vedova, Todd Wareham
NCA
2007
IEEE
15 years 6 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria