Equivalent reference points in multiobjective programming
作者：
Highlights：
• Reference point approaches are very useful in multiobjective optimization problems.
• A new set of equivalent reference points is provided for the same optimal solution.
• This information can be used in any interactive reference point-based method.
• A real model of the satisfaction of the workers shows its practical applicability.
• DEA models and evolutionary algorithms are two very promising research lines.
摘要
•Reference point approaches are very useful in multiobjective optimization problems.•A new set of equivalent reference points is provided for the same optimal solution.•This information can be used in any interactive reference point-based method.•A real model of the satisfaction of the workers shows its practical applicability.•DEA models and evolutionary algorithms are two very promising research lines.
论文关键词：Multiobjective programming,Reference point,Achievement scalarizing function,Interactive methods
论文评审过程：Available online 25 October 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.10.028
