期刊
IEEE ACCESS
卷 10, 期 -, 页码 33661-33678出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3161465
关键词
Optimization; Visual analytics; Pareto optimization; Task analysis; Linear programming; Rivers; Pollution; Visual analytics; multiple criteria decision making; interactive optimization
资金
- Academy of Finland [311877, 322221]
- Vienna Business Agency, through the COMET Program of the FFG [879730]
- BMK, BMDW, Styria
- SFG, Tyrol
- Academy of Finland (AKA) [322221] Funding Source: Academy of Finland (AKA)
In today's data-driven world, integrating interactive multiobjective optimization with interactive visualization can provide decision makers with a powerful tool for understanding problems and making decisions. This paper introduces a new interactivized approach that combines state-of-the-art interactive visualization with interactive multiobjective optimization, significantly improving the analysis workflow for decision makers.
In today's data-driven world, decision makers are facing many conflicting objectives. Since there is usually no solution that optimizes all objectives simultaneously, the aim is to identify a solution with acceptable trade-offs. Interactive multiobjective optimization methods are iterative processes in which a human decision maker repeatedly provides one's preferences to request computing new solutions and compares them. With these methods, the decision maker can learn about the problem and its limitations. However, advanced optimization software usually offer simple visualization tools that can be significantly improved. On the other hand, current approaches for multiobjective optimization from the visualization community provide superior visualization tools but lack advanced optimization. In this paper, we introduce a new term, interactivize, for integrating interactive multiobjective optimization and interactive visualization and present an interactivized approach supporting decision makers in visually steering interactive multiobjective optimization methods. We integrate state-of-the-art interactive visualization with the process of interactive multiobjective optimization in a visual analytics solution that significantly improves the analysis workflow of decision makers, like comparing selected solutions and specifying new preferences during the iterative solution process. To realize the new interactivized approach, we combine a coordinated multiple views system with DESDEO, an open-source software framework for interactive multiobjective optimization. We demonstrate our interactivized approach on a river pollution problem.
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