1243. A survey on the state-of-the-art of the multiobjective optimization methods for multiple decision makers
Invited abstract in session TC-51: Multiobjective Decision Making, stream Multiobjective and vector optimization.
Tuesday, 12:30-14:00Room: Parkinson B22
Authors (first author is the speaker)
| 1. | Juuso Pajasmaa
|
| 2. | Kaisa Miettinen
|
| University of Jyväskyla | |
| 3. | Johanna Silvennoinen
|
| University of Jyvaskyla |
Abstract
Group decision making in multiobjective optimization (GDM-MOO) deals with problems involving multiple conflicting objective functions and
several decision makers with conflicting preferences.
The goal of GDM-MOO methods is to find an acceptable Pareto optimal solution for the group that can be also implemented in practice.
When compared to methods for a single decision maker,
developing GDM-MOO methods introduces new challenges.
We present the highlights of a systematic review of the state-of-the-art in the GDM-MOO literature.
We pay attention to, for example, how preferences of several decision makers are incorporated into the solution process, how to select the most preferred solution for the group
and how the group is to operate during the solution process.
Furthermore, we describe the main approaches in GDM-MOO methods used to solve various kinds of multiobjective optimization problems.
We observe that the practical applicability has not been considered sufficiently in the literature.
We identify several key issues that should be considered in further method development to increase the methods' practical applicability.
Importantly, the group should be better supported in selecting the final solution.
To support method developers,
we recommend validating new methods using real-world problems or with realistic test settings that account for the identified key issues.
Keywords
- Multi-Objective Decision Making
- Decision Support Systems
- Group Decision Making and Negotiation
Status: accepted
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