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» An Adaptive Penalty Function Method for Constrained Optimiza...
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MP
2002
195views more  MP 2002»
13 years 6 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 10 months 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
ECML
2004
Springer
13 years 10 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
TASE
2008
IEEE
13 years 6 months ago
On Clamping Planning in Workpiece-Fixture Systems
Deformation at contacts between the workpiece and locators/clamps resulting from large contact forces causes overall workpiece displacement, and affects the localization accuracy o...
Caihua Xiong, Michael Yu Wang, You-Lun Xiong
GECCO
2004
Springer
139views Optimization» more  GECCO 2004»
13 years 12 months ago
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...
Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai