Ciprian Zavoianu, Edwin Lughofer, Wolfgang Amrhein, Erich Klement,
"Efficient Multi-Objective Optimization using 2-Population Cooperative Coevolution"
, in Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia: Computer Aided Systems Theory - EUROCAST 2013, Serie Lecture Notes in Computer Science, Vol. 8111, Springer Berlin Heidelberg, Seite(n) 251-258, 2013, ISBN: 978-3-642-53855-1
Efficient Multi-Objective Optimization using 2-Population Cooperative Coevolution
Sprache des Titels:
Computer Aided Systems Theory - EUROCAST 2013
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.