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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 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
CEC
2007
IEEE
14 years 4 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
AIPS
2000
13 years 11 months ago
Using Generic Preferences to Incrementally Improve Plan Quality
We describe a methodology for representing and optimizing user preferences on plans. Our approach differs from previous work on plan optimization in that we employ a generalizatio...
Gregg Rabideau, Barbara Engelhardt, Steve A. Chien
JSYML
2008
72views more  JSYML 2008»
13 years 9 months ago
Perfect trees and elementary embeddings
An important technique in large cardinal set theory is that of extending an elementary embedding j : M N between inner models to an elementary embedding j : M[G] N[G] between ge...
Sy-David Friedman, Katherine Thompson
ALENEX
2001
101views Algorithms» more  ALENEX 2001»
13 years 11 months ago
CNOP - A Package for Constrained Network Optimization
Abstract. We present a generic package for resource constrained network optimization problems. We illustrate the flexibility and the use of our package by solving four applications...
Kurt Mehlhorn, Mark Ziegelmann