1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2013
Mean field variational framework for integer optimization
Arturo Berrones, Jonás Velasco, Juan Banda
A principled method to obtain approximate solutions of general constrained integer optimization problems is introduced. The approach is based on the calculation of a mean field pro…
cs.NE2011★ 1 cited
An estimation of distribution algorithm with adaptive Gibbs sampling for unconstrained global optimization
Jonás Velasco, Mario A. Saucedo-Espinosa, Hugo Jair Escalante +5
In this paper is proposed a new heuristic approach belonging to the field of evolutionary Estimation of Distribution Algorithms (EDAs). EDAs builds a probability model and a set of…