swMATH ID: 2537
Software Authors: Filomeno Coelho, R.; Bouillard, Ph.; Bersini, H.
Description: PAMUC: A new method to handle with constraints and multiobjectivity in evolutionary algorithms. Multiobjective optimization using evolutionary algorithms (EA) has become a wide area of research during these last years. However, only a few papers deal with the handling of preferences. To take them into account, a method based on multicriteria decision aid, PROMETHEE II, has been implemented. Furthermore, as the handling of the constraints is very critical in EA, an original approach preferences applied to multiobjectivity and constraints (PAMUC) has been proposed, which considers the satisfaction of the constraints as another objective.
Homepage: http://www.springerlink.com/content/n710711523054x17/fulltext.pdf
Keywords: evolutionary algorithms; preferences; multiobjective optimization; multicriteria decision; PROMETHEE II
Related Software: SPEA2; DAKOTA; FEAP; VIKOR; BANKADVISER; Decision Lab 2000; ORESTE; ARGOS; PROMETHEE-MD; Genocop
Cited in: 8 Documents

Citations by Year