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» Polynomial Interpretations and the Complexity of Algorithms
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WABI
2007
Springer
139views Bioinformatics» more  WABI 2007»
16 years 12 days ago
Computability of Models for Sequence Assembly
Graph-theoretic models have come to the forefront as some of the most powerful and practical methods for sequence assembly. Simultaneously, the computational hardness of the underl...
Paul Medvedev, Konstantinos Georgiou, Gene Myers, ...
IPPS
2006
IEEE
16 years 10 days ago
Using virtual grids to simplify application scheduling
Users and developers of grid applications have access to increasing numbers of resources. While more resources generally mean higher capabilities for an application, they also rai...
Richard Y. Huang, Henri Casanova, Andrew A. Chien
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 11 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
CIDM
2007
IEEE
15 years 10 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 7 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt