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ICANN
2005
Springer
15 years 12 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
AAAI
2007
15 years 8 months ago
Understanding Performance Tradeoffs in Algorithms for Solving Oversubscribed Scheduling
In recent years, planning and scheduling research has paid increasing attention to problems that involve resource oversubscription, where cumulative demand for resources outstrips...
Laurence A. Kramer, Laura Barbulescu, Stephen F. S...
170
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CP
2005
Springer
15 years 12 months ago
Robust Constraint Solving Using Multiple Heuristics
Abstract. Constraint Programming is a proven successful technique, but it requires skill in modeling problems, and knowledge on how algorithms interact with models. What can be a g...
Alfio Vidotto, Kenneth N. Brown, J. Christopher Be...
PACT
1999
Springer
15 years 10 months ago
Parallel Implementation of Constraint Solving
Many problems from artificial intelligence can be described as constraint satisfaction problems over finite domains (CSP(FD)), that is, a solution is an assignment of a value to ...
Alvaro Ruiz-Andino, Lourdes Araujo, Fernando S&aac...
AAAI
2000
15 years 7 months ago
Solving Combinatorial Auctions Using Stochastic Local Search
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
Holger H. Hoos, Craig Boutilier