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133
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CP
2000
Springer
15 years 8 months ago
Linear Formulation of Constraint Programming Models and Hybrid Solvers
Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization...
Philippe Refalo
114
Voted
WSC
2008
15 years 6 months ago
Simulation optimization applied to injection molding
In this work, a simulation optimization method developed by Villarreal and Cabrera-R
Maria G. Villarreal, Rachmat Mulyana, José ...
119
Voted
WSC
1998
15 years 5 months ago
Modeling Cardiac Ion Channel Conductivity: Model Fitting via Simulation
We describe a Markov state model for a cloned potassium channel of the human heart ( 1KvLQTI ). The parameters of the model are determined by a least-squares fit of predicted vs. ...
John L. Maryak, Richard H. Smith, Raimond L. Winsl...
119
Voted
WIOPT
2010
IEEE
15 years 2 months ago
Enhancing RRM optimization using a priori knowledge for automated troubleshooting
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
126
Voted
4OR
2004
84views more  4OR 2004»
15 years 3 months ago
Non-classical preference models in combinatorial problems: Models and algorithms for graphs
This is a summary of the most important results presented in the author's PhD thesis (Spanjaard, 2003). This thesis, written in French, was defended on 16 December 2003 and su...
Olivier Spanjaard