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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 2 days ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
EVOW
2003
Springer
15 years 11 months ago
Search Space Analysis of the Linear Ordering Problem
Abstract. The Linear Ordering Problem (LOP) is an NP-hard combinatorial optimization problem that arises in a variety of applications and several algorithmic approaches to its solu...
Tommaso Schiavinotto, Thomas Stützle
EOR
2007
75views more  EOR 2007»
15 years 6 months ago
Improved modeling and solution methods for the multi-resource routing problem
This paper presents modeling and solution method improvements for the Multi-Resource Routing Problem (MRRP) with flexible tasks. The MRRP with flexible tasks is used to model ro...
Peter Francis, Guangming Zhang, Karen R. Smilowitz
EWC
2010
91views more  EWC 2010»
15 years 5 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
CVPR
2009
IEEE
17 years 1 months ago
A Stereo Approach that Handles the Matting Problem via Image Warping
We propose an algorithm that simultaneously extracts disparities and alpha matting information given a stereo image pair. Our method divides the reference image into a set of ov...
Michael Bleyer (Vienna University of Technology), ...