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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 8 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
PPSN
2010
Springer
13 years 3 months ago
Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
Abstract. There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. esta...
Juan Pedro Castro Gutiérrez, Dario Landa-Si...
HEURISTICS
2008
124views more  HEURISTICS 2008»
13 years 5 months ago
A variable neighborhood search for the capacitated arc routing problem with intermediate facilities
In this talk we present a unified Variable Neighborhood Search (VNS) algorithm for the Capacitated Arc Routing Problem (CARP) and some of its variants - the Capacitated Arc Routin...
Michael Polacek, Karl F. Doerner, Richard F. Hartl...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 11 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko
BMCBI
2008
166views more  BMCBI 2008»
13 years 5 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...