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ICANN
2005
Springer
14 years 3 months ago
Training of Support Vector Machines with Mahalanobis Kernels
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
Shigeo Abe
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
GECCO
2006
Springer
332views Optimization» more  GECCO 2006»
14 years 1 months ago
Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
Gerulf K. M. Pedersen, Zhenyu Yang
ISCC
2000
IEEE
14 years 2 months ago
IsoWAN: A NASA Science and Engineering Information and Services Framework
We believe that the next evolutionary step in supporting wide-area application and services delivery to customers is a network framework that provides for collocation of applicati...
David J. Korsmeyer, Edward T. Chow, Michael P. Con...
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
14 years 1 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim