A1 Journal article (refereed)
SCORE Band Visualizations : Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization (2024)

Saini, B. S., Miettinen, K., Klamroth, K., Steuer, R. E., & Dächert, K. (2024). SCORE Band Visualizations : Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization. IEEE Access, Early online. https://doi.org/10.1109/access.2024.3491423

JYU authors or editors

Publication details

All authors or editors: Saini, Bhupinder S.; Miettinen, Kaisa; Klamroth, Kathrin; Steuer, Ralph E.; Dächert, Kerstin

Journal or series: IEEE Access

eISSN: 2169-3536

Publication year: 2024

Publication date: 04/11/2024

Volume: Early online

Publisher: Institute of Electrical and Electronics Engineers

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/access.2024.3491423

Publication open access: Openly available

Publication channel open access: Open Access channel

Abstract

Clearly arranged visualizations are needed in multiobjective optimization problems with a large number of objective functions, when a large number of Pareto optimal outcome vectors (vectors of objective function values) must be compared during the decision making processes. This paper contributes to visualizing such outcome vectors independent of how they have been generated. Parallel coordinate plots are a widely used visualization technique to represent different outcome vectors. We propose a novel visualization technique called SCORE bands to be used with parallel coordinate plots to support the decision maker in simultaneously identifying patterns in outcome vectors and correlations among the objective functions in a meaningful way. To do so, amongst others, we change the ordering of objective functions and modify the distances among them in parallel coordinate plots. SCORE bands also have interactive capabilities allowing the decision maker to first study general trends among the outcome vectors as bands and then zoom-in and move about different groups of outcome vectors of interest. The novelty of our approach lies in proposing a visually appealing way to support the decision maker in dealing with large amounts of information. We demonstrate the benefits of SCORE bands with different examples.

Keywords: optimisation; visualisation; decision making; multi-objective optimisation

Free keywords: multiple criteria optimization; interactive visualization; correlated objectives; parallel coordinate plots; pareto optimality

Contributing organizations

Related projects

Ministry reporting: Yes

VIRTA submission year: 2024

Preliminary JUFO rating: 1