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» Heuristic Search for Large Problems With Real Costs
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 4 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
DAM
2000
137views more  DAM 2000»
14 years 9 months ago
Solving the feedback vertex set problem on undirected graphs
Feedback problems consist of removing a minimal number of vertices of a directed or undirected graph in order to make it acyclic. The problem is known to be NPcomplete. In this pa...
Lorenzo Brunetta, Francesco Maffioli, Marco Trubia...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
JAIR
2006
179views more  JAIR 2006»
14 years 9 months ago
The Fast Downward Planning System
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...
Malte Helmert
TPDS
2008
92views more  TPDS 2008»
14 years 9 months ago
Topology Design of Network-Coding-Based Multicast Networks
It is anticipated that a large amount of multicast traffic needs to be supported in future communication networks. The network coding technique proposed recently is promising for e...
Kaikai Chi, Xiaohong Jiang, Susumu Horiguchi, Miny...