9 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering
Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
A variety of clustering criteria has been applied as an objective function in Evolutionary Multi-Objective Clustering approaches (EMOCs). However, most EMOCs do not provide detaile…
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems
Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo +1
Evolutionary algorithms based on modeling the statistical dependencies (interactions) between the variables have been proposed to solve a wide range of complex problems. These algo…
Effective linkage learning using low-order statistics and clustering
Leonardo Emmendorfer, Aurora Pozo
The adoption of probabilistic models for the best individuals found so far is a powerful approach for evolutionary computation. Increasingly more complex models have been used by e…