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119
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CP
2006
Springer
15 years 6 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
113
Voted
ILP
2000
Springer
15 years 6 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
105
Voted
WSC
2004
15 years 4 months ago
Simulation-Based Optimization for Material Dispatching in a Retailer Network
This paper presents preliminary work done on simulationbased optimization of a stochastic material-dispatching system in a retailer network. The problem we consider is one of dete...
Ganesh Subramaniam, Abhijit Gosavi
120
Voted
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 3 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
EOR
2010
87views more  EOR 2010»
15 years 2 months ago
On the system optimum of traffic assignment in M/G/c/c state-dependent queueing networks
-- The classical Wardrop System Optimum (SO) assignment model assumes that the users will cooperate with each other in order to minimize the overall travel costs. The importance of...
Frederico R. B. Cruz, Tom Van Woensel, James MacGr...