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CSCLP
2006
Springer
15 years 2 months ago
Bipolar Preference Problems: Framework, Properties and Solving Techniques
Real-life problems present several kinds of preferences. We focus on problems with both positive and negative preferences, that we call bipolar preference problems. Although seemin...
Stefano Bistarelli, Maria Silvia Pini, Francesca R...
UAI
2001
15 years 2 days ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 4 months ago
ACO vs EAs for solving a real-world frequency assignment problem in GSM networks
Frequency planning is a very important task for current GSM operators. In this work we present a new mathematical formulation of the problem in which the frequency plans are evalu...
Francisco Luna, Christian Blum, Enrique Alba, Anto...
GECCO
2007
Springer
293views Optimization» more  GECCO 2007»
15 years 4 months ago
Solving the artificial ant on the Santa Fe trail problem in 20, 696 fitness evaluations
In this paper, we provide an algorithm that systematically considers all small trees in the search space of genetic programming. These small trees are used to generate useful subr...
Steffen Christensen, Franz Oppacher
CEC
2005
IEEE
15 years 4 months ago
Evolving dispatching rules for solving the flexible job-shop problem
We solve the Flexible Job-Shop Problem (FJSP) by using dispatching rules discovered through Genetic Programming (GP). While Simple Priority Rules (SPR) have been widely applied in ...
Nhu Binh Ho, Joc Cing Tay