Task-based visual analytics for interactive multiobjective optimization
Jussi Hakanen,
Kaisa Miettinen and
Krešimir Matković
Journal of the Operational Research Society, 2021, vol. 72, issue 9, 2073-2090
Abstract:
We study how visual interaction techniques considered in visual analytics can be utilized when implementing interactive multiobjective optimization methods, where a decision maker iteratively participates in the solution process. We want to benefit from previous research and avoid re-inventing ideas. Our aim is to widen awareness and increase the applicability of interactive methods for solving real-world problems. As a concrete approach, we introduce seven high-level tasks that are relevant for interactive methods. These high-level tasks are based on low-level tasks proposed in the visual analytics literature. In addition, we give an example on how the high-level tasks can be implemented and demonstrate this in the context of a real-world multiobjective optimization problem related to wastewater treatment plant operation. Finally, we make recommendations for implementations of interactive methods. We conclude that task-based visual analytics can help in implementing interaction between human decision makers and interactive multiobjective optimization methods.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:72:y:2021:i:9:p:2073-2090
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DOI: 10.1080/01605682.2020.1768809
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