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AAAI
2008
15 years 8 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
IPPS
2003
IEEE
15 years 11 months ago
Parallel LAN/WAN Heuristics for Optimization
We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well ...
Enrique Alba, Gabriel Luque
CCE
2005
15 years 6 months ago
Logic-based outer approximation for globally optimal synthesis of process networks
Process network problems can be formulated as Generalized Disjunctive Programs where a logicbased representation is used to deal with the discrete and continuous decisions. A new ...
María Lorena Bergamini, Pío A. Aguir...
WABI
2005
Springer
117views Bioinformatics» more  WABI 2005»
15 years 12 months ago
Faster Algorithms for Optimal Multiple Sequence Alignment Based on Pairwise Comparisons
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular biology. The running time of the best known scheme for finding an optimal ali...
Pankaj K. Agarwal, Yonatan Bilu, Rachel Kolodny
ICPR
2000
IEEE
16 years 7 months ago
Automatic Training of Page Segmentation Algorithms: An Optimization Approach
Most page segmentation algorithms have userspecifiable free parameters. However, algorithm designers typically do not provide a quantitative/rigorous method for choosing values fo...
Song Mao, Tapas Kanungo