Ontology type: schema:Chapter
2012
AUTHORSMathieu Chouchane , Sébastien Paris , François Le Gland , Mustapha Ouladsine
ABSTRACTIn this paper, we present a novel stochastic optimization algorithm based on the rare events simulation framework for sensors deployment in underwater systems. More precisely, we focus on finding the best spatio-temporal deployment of a set of sensors in order to maximize the detection probability of an intelligent and randomly moving target in an area under surveillance. Based on generalized splitting technique with a dedicated Gibbs sampler, our approach does not require any state-space discretization and rely on the evolutionary framework. More... »
PAGES243-254
Evolutionary Computation in Combinatorial Optimization
ISBN
978-3-642-29123-4
978-3-642-29124-1
http://scigraph.springernature.com/pub.10.1007/978-3-642-29124-1_21
DOIhttp://dx.doi.org/10.1007/978-3-642-29124-1_21
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