6533b873fe1ef96bd12d4e53

RESEARCH PRODUCT

Task-based visual analytics for interactive multiobjective optimization

Kresimir MatkovicJussi HakanenKaisa Miettinen

subject

Visual analyticsComputer sciencevisualisointiStrategy and Managementdecision maker0211 other engineering and technologiespäätöksentukijärjestelmätpreference information02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationManagement Information SystemsTask (project management)käyttöliittymätHuman–computer interaction0202 electrical engineering electronic engineering information engineeringmultiple criteria optimizationvisualizationtask taxonomyMarketing021103 operations researchmonitavoiteoptimointiVisualizationuser interface020201 artificial intelligence & image processingUser interface

description

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. peerReviewed

https://doi.org/10.1080/01605682.2020.1768809