A New Approach to Group Multi-Objective Optimization under Imperfect Information and Its Application to Project Portfolio Optimization

This paper addresses group multi-objective optimization under a new perspective. For each point in the feasible decision set, satisfaction or dissatisfaction from each group member is determined by a multi-criteria ordinal classification approach, based on comparing solutions with a limiting boundar...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Eduardo Fernández, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia Gomez-Santillan
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Subjects:	group multi-objective optimization multi-criteria classification project portfolio selection interval mathematics evolutionary algorithms
Online Access:	https://www.mdpi.com/2076-3417/11/10/4575