@article{PB-VRVis-2020-033,
author = {Hakanen, Jussi and Miettinen, Kaisa and Matkovi{\'c}, Kresimir},
title = {Task-based visual analytics for interactive multiobjective optimization},
year = {2020},
journaltitle = {Journal of the Operational Research Society},
doi = {https://doi.org/10.1080/01605682.2020.1768809},
url = {https://www.vrvis.at/publications/PB-VRVis-2020-033},
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.},
keywords = {Decision maker, preference information, multiple criteria optimization, visualization, task taxonomy, user interface},
}