1807. Visualisation techniques in multi-objective optimization: The Liger software
Invited abstract in session WA-51: Advances in multiobjective optimization software, stream Multiobjective and vector optimization.
Wednesday, 8:30-10:00Room: Parkinson B22
Authors (first author is the speaker)
| 1. | Joao Duro
|
| Electrical and Electronics Engineering, University of Sheffield | |
| 2. | Robin Purshouse
|
| University of Sheffield |
Abstract
Visualisation techniques in multi-objective optimization are essential for supporting decision-maker(s) (DMs) in identifying conflicts and synergies between objectives and for navigating high dimensional problem spaces toward the most promising compromise solutions. In high dimensions, parallel coordinates plots and glyphs are commonly used, but have limitations. Visualisations with dynamic and interactive features are able to better engage the DM in the optimization process. In addition, the use of machine learning in visualisation techniques is gaining traction. For instance, objective reduction methods can be used to identify a subset of essential objectives, reducing the cognitive load on the DM. This talk will cover a novel integration of machine learning and traditional visualisation techniques, implemented in Liger---an open-source optimization and decision-making workflow software. Liger has been developed in partnership with real-world problem stakeholders, and provides dynamic and interactive visualisations that are driven by the popular D3.js library.
Keywords
- Decision Support Systems
- Machine Learning
- Multi-Objective Decision Making
Status: accepted
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