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SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
15 years 10 months ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
APPROX
2008
Springer
124views Algorithms» more  APPROX 2008»
15 years 7 months ago
Deterministic 7/8-Approximation for the Metric Maximum TSP
We present the first 7/8-approximation algorithm for the maximum traveling salesman problem with triangle inequality. Our algorithm is deterministic. This improves over both the r...
Lukasz Kowalik, Marcin Mucha
CLUSTER
2007
IEEE
15 years 11 months ago
Dynamic scheduling of multi-processor tasks on clusters of clusters
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...
Sascha Hunold, Thomas Rauber, Gudula Rünger
145
Voted
STOC
2006
ACM
113views Algorithms» more  STOC 2006»
15 years 11 months ago
Logarithmic hardness of the directed congestion minimization problem
We show that for any constant ε > 0, there is no Ω(log1−ε M)approximation algorithm for the directed congestion minimization problem on networks of size M unless NP ⊆ Z...
Matthew Andrews, Lisa Zhang
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 11 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...