Task-based visual analytics for interactive multiobjective optimization. Issue 9 (2nd September 2021)

• Record Type: Journal Article
• Authors: Hakanen, Jussi; Miettinen, Kaisa; Matković, Krešimir
• Is Part Of: Journal of the Operational Research Society. Volume 72:Issue 9(2021)
• Page Start: 2073
• Page End: 2090
• Publication Date: 2021-09-02
• Subjects: Decision maker -- preference information -- multiple criteria optimization -- visualization -- task taxonomy -- user interface; Operations research -- Periodicals; 658.4034
• DOI: 10.1080/01605682.2020.1768809
• Languages: English
• ISSNs: 0160-5682

Abstract

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.