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CP
2011
Springer
12 years 5 months ago
Algorithm Selection and Scheduling
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, ...
ATMOS
2007
163views Optimization» more  ATMOS 2007»
13 years 7 months ago
Branching Strategies to Improve Regularity of Crew Schedules in Ex-Urban Public Transit
We discuss timetables in ex-urban bus traffic that consist of many trips serviced every day together with some exceptions that do not repeat daily. Traditional optimization methods...
Ingmar Steinzen, Leena Suhl, Natalia Kliewer
INFORMS
2010
177views more  INFORMS 2010»
13 years 4 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
COR
2008
142views more  COR 2008»
13 years 5 months ago
Modeling and solving the rooted distance-constrained minimum spanning tree problem
In this paper we discuss models and methods for solving the rooted distance constrained minimum spanning tree problem which is defined as follows: given a graph G = (V, E) with no...
Luis Gouveia, Ana Paias, Dushyant Sharma
IMCSIT
2010
13 years 4 months ago
Efficient Portfolio Optimization with Conditional Value at Risk
The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
Wlodzimierz Ogryczak, Tomasz Sliwinski