EURO 2024 Copenhagen
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2460. A Combined Framework of MCDA and MOP Methods for Planning High School Student Distribution in the Capital Region of Denmark.

Invited abstract in session WB-37: Discrete Multiobjective Optimization, stream Multiobjective Optimization.

Wednesday, 10:30-12:00
Room: 33 (building: 306)

Authors (first author is the speaker)

1. Andreas Sølling Brendstrup
Technology, Management and Economics, Technical University of Denmark
2. Valdemar Buch
Technology, Management and Economics, Technical University of Denmark
3. Michael Bruhn Barfod
Department of Management Engineering, Technical University of Denmark
4. Thomas Stidsen
DTU-Management, Technical University of Denmark

Abstract

Many real-life problems frequently encompass multiple, sometimes conflicting, objectives that require simultaneous consideration. For this purpose, there is a need for a comprehensive assessment methodology. Multi-criteria decision analysis (MCDA) and multi-objective optimization problems (MOP) are methodologies attempting to overcome such problems. MCDA focuses on deriving a satisfactory solution while accounting for a stakeholder preference structure. MOP methodologies focus on the optimization tasks of identifying Pareto optimal solutions, where optimal solutions must be taken in the presence of a trade-off between two or more conflicting objectives. Over the past decade, extensive research has been conducted, resulting in substantial bodies of literature on both subjects, revealing potential opportunities and synergies between them. This presentation investigates the possible combination of MOP and MCDA methods in a novel framework to address large, complex decision problems involving conflicting objectives and several stakeholders. The framework will be tested on the combinatorial problem of distributing high school students within the capital region of Denmark.

Keywords

Status: accepted

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