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» Stochastic Optimization is (Almost) as easy as Deterministic...
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SARA
2007
Springer
14 years 1 months ago
Approximate Model-Based Diagnosis Using Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are NPhard. To overcom...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
IPPS
1999
IEEE
13 years 11 months ago
Better Deterministic Routing on Meshes
Optimal randomized and deterministic algorithms have been given for k-k routing on two-dimensional nn meshes. The deterministic algorithm is based on "column-sort" and e...
Jop F. Sibeyn
TON
2010
147views more  TON 2010»
13 years 5 months ago
Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
Tao Shu, Marwan Krunz
CDC
2009
IEEE
217views Control Systems» more  CDC 2009»
13 years 8 months ago
Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs
This paper presents a novel discrete population based stochastic optimization algorithm inspired from weed colonization. Its performance in a discrete benchmark, timecost trade-off...
Mohsen Ramezani Ghalenoei, Hossein Hajimirsadeghi,...
CCE
2007
13 years 7 months ago
Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
Vicente Rico-Ramírez, Sergio Frausto-Hern&a...