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» Preference-Based Problem Solving for Constraint Programming
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ICML
2008
IEEE
14 years 8 months ago
On partial optimality in multi-label MRFs
We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as...
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rot...
GPC
2007
Springer
14 years 1 months ago
Optimizing Server Placement for QoS Requirements in Hierarchical Grid Environments
This paper focuses on two problems related to QoS-aware I/O server placement in hierarchical Grid environments. Given a hierarchical network with requests from clients, the network...
Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-M...
AGENTS
2000
Springer
13 years 12 months ago
Ant-like missionaries and cannibals: synthetic pheromones for distributed motion control
Many applied problems in domains such as military operations, manufacturing, and logistics require that entities change location under certain constraints. These problems are trad...
H. Van Dyke Parunak, Sven Brueckner
WSC
2008
13 years 10 months ago
Priority mix planning for cycle time-differentiated semiconductor manufacturing services
Semiconductor fabs often offer manufacturing service of multiple priorities in terms of cycle time-based X-factor targets (XFTs) and fab production must be planned accordingly. Th...
Shi-Chung Chang, Shin-Shyu Su, Ke-Ju Chen
CPAIOR
2008
Springer
13 years 9 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck