392. Decision Support with Interactive Multiobjective Optimization Methods and Software
Invited abstract in session TB-1: Kaisa Miettinen, stream Keynotes.
Tuesday, 10:30-12:00Room: Great Hall
Authors (first author is the speaker)
| 1. | Kaisa Miettinen
|
| University of Jyväskyla |
Abstract
We encounter multiobjective optimization problems in various domains when we must make a decision while considering several conflicting objective functions simultaneously. Because of the conflict, we can identify so-called Pareto optimal solutions representing different trade-offs and we need some additional information to order these solutions. Typically, we assume to get preference information from a domain expert called a decision maker. Multiobjective optimization methods support the decision maker in finding the best balance among the trade-offs, that is, the most preferred solution.
In this talk, I concentrate on interactive methods, where the decision maker augments the problem formulation with domain expertise and directs an iterative solution process with preferences. In an iterative fashion, the decision maker gains insight into the interdependencies and trade-offs among the conflicting objective functions and learns about the feasibility of the preferences. Based on the learning, the decision maker can update the preferences and eventually get convinced of the quality of the most preferred solution. I demonstrate the advantages of some interactive methods with real examples. In addition, I also give a brief overview of the modular, open-source software framework DESDEO that hosts different interactive methods and enables e.g. switching the method during the solution process to support the decision maker better.
Keywords
- Decision Support Systems
- Multi-Objective Decision Making
Status: accepted
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