TY - CONF
AU - Serrat, C.
AU - Calvet , L.
AU - Juan, Á.
AU - Ries, J.
T3 - CLAPEM 2016 - XIV Latin American Congress of Probability and Mathematical Statistics
PY - 2016
Y1 - 2016
SP - 78
EP - 78
AB - Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted. The aim of the talk is to focus on
the statistical procedures used so far by the scientific community to tackle the Parameter Setting Problem, and to propose a novel and more efficient methodology. The proposal is tested for the selection of appropriate parameter values for solving the Multi-Depot Vehicle Routing Problem.
T2 - Latin American Congress of Probability and Mathematical Statistics
TI - Statistical learning techniques applied to parameter fine-tunig in metaheuristics
ER -