Title:Efficient Multi-Objective Optimization using 2-Population Cooperative CoevolutionAuthor(s):Ciprian Zavoianu, Edwin Lughofer, Wolfgang Amrhein, Erich KlementAbstract:We propose a 2-population cooperative coevolutionary optimization method that can efficiently solve multi-objective optimization problems as it successfully combines positive traits from classic multi-objective evolutionary algorithms and from newer optimization approaches that explore the concept of differential evolution. A key part of the algorithm lies in the proposed dual fitness sharing mechanism that is able to smoothly transfer information between the two coevolved populations without negatively impacting the independent evolutionary process behavior that characterizes each population.Booktitle:Computer Aided Systems Theory - EUROCAST 2013Publisher:Springer Berlin HeidelbergEditor(s):Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-ArencibiaISBN:978-3-642-53855-1Page Reference:page 251-258, 8 page(s)Publishing:2013Series:Lecture Notes in Computer Science (LNCS)Volume:8111