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» A Graphical Model for Evolutionary Optimization
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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 8 months ago
Combining a Memetic Algorithm with Integer Programming to Solve the Prize-Collecting Steiner Tree Problem
The prize-collecting Steiner tree problem on a graph with edge costs and vertex profits asks for a subtree minimizing the sum of the total cost of all edges in the subtree plus th...
Gunnar W. Klau, Ivana Ljubic, Andreas Moser, Petra...
EC
2006
195views ECommerce» more  EC 2006»
15 years 3 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
DAGM
2004
Springer
15 years 8 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
ESM
1998
15 years 4 months ago
Modelling of the Human Arterial Network for Preoperative Predictions
The aim of this project was the development of a user-friendly software package for physicians that can be used as an advisor in vessel surgery and as a training tool for medical ...
Christian Almeder, Felix Breitenecker, Siegfried W...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 4 months ago
Stock trading strategies by genetic network programming with flag nodes
Genetic Network Programming (GNP) has been proposed as a graph-based evolutionary algorithm. GNP works well especially in dynamic environments due to its graph structures. In addi...
Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hira...