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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 9 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
IPPS
2003
IEEE
14 years 1 months ago
Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm
Mesh partitioning is an important problem that has extensive applications in many areas. Multilevel algorithms are a successful class of optimization techniques which addresses th...
Peter Korosec, Jurij Silc, Borut Robic
AOSD
2011
ACM
13 years 8 days ago
An aspect-oriented approach for implementing evolutionary computation applications
Object-oriented frameworks support design and code reuse for specific application domains. To facilitate the development of evolutionary computation (EC) programs, such as geneti...
Andres J. Ramirez, Adam C. Jensen, Betty H. C. Che...
KES
2008
Springer
13 years 8 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
14 years 2 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...