The Lexicographic Tolerable Robustness Concept for Uncertain Multi-Objective Optimization Problems: A Study on Water Resources Management

• Main Authors: Pornpimon Boriwan, Matthias Ehrgott, Daishi Kuroiwa, Narin Petrot
• Format: Article
• Language: English
• Published: MDPI AG 2020-09-01
• Series: Sustainability
• Subjects: uncertain multi-objective optimization; robustness concept; minmax robustness; lexicographic tolerable robust; water resources management planning
• Online Access: https://www.mdpi.com/2071-1050/12/18/7582

In this study, we introduce a robust solution concept for uncertain multi-objective optimization problems called the lexicographic tolerable robust solution. This approach is advantageous for the practical implementation of problems in which the solution should satisfy priority levels in the objective function and the worst performance vector of the solution obtained by the proposed concept is close to a reference point of the considered problem, within an acceptable tolerance threshold. Important properties of the solution sets of this introduced concept as well as an algorithm for finding such solutions are presented and discussed. We provide the implementation of the proposed lexicographic tolerable robust solution to improve understanding for practitioners by relying on the data of the water resources master plan for Serbia from Simonovic, 2009. Moreover, we are also concerned with the method of updating a desirable solution for fitting with the preferences when compromising of the multiple groups of decision makers is needed.