期刊
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
卷 72, 期 9, 页码 2073-2090出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/01605682.2020.1768809
关键词
Decision maker; preference information; multiple criteria optimization; visualization; task taxonomy; user interface
资金
- Academy of Finland [311877]
- BMVIT
- BMDW, Styria
- SFG
- Vienna Business Agency [854174]
This study examines how visual interaction techniques from visual analytics can be applied in interactive multiobjective optimization methods, aiming to increase awareness and applicability of interactive methods for solving real-world problems. The authors introduce seven high-level tasks and provide an example of their implementation.
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.
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