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» On Some Optimization Heuristics for Lesk-Like WSD Algorithms
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
BMCBI
2006
139views more  BMCBI 2006»
13 years 7 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana
4OR
2008
96views more  4OR 2008»
13 years 7 months ago
A column generation approach to train timetabling on a corridor
We propose heuristic and exact algorithms for the (periodic and non-periodic) train timetabling problem on a corridor that are based on the solution of the LP relaxation of an ILP...
Valentina Cacchiani, Alberto Caprara, Paolo Toth
WABI
2004
Springer
109views Bioinformatics» more  WABI 2004»
14 years 28 days ago
Online Consensus and Agreement of Phylogenetic Trees
Computational heuristics are the primary methods for reconstruction of phylogenetic trees on large datasets. Most large-scale phylogenetic analyses produce numerous trees that are ...
Tanya Y. Berger-Wolf
FOCM
2011
175views more  FOCM 2011»
13 years 2 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma