To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes

• URL: http://arxiv.org/abs/2011.14395v1
• Date: Sun, 29 Nov 2020 16:33:15 GMT
• Title: To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
• Authors: Lennart Sch\"apermeier, Christian Grimme, Pascal Kerschke
• Abstract summary: We compiled all state-of-the-art visualization methods in a single R-package (moPLOT) This enables - for the first time - to illustrate the landscape structures of three-dimensional MOPs. We additionally provide a dashboard that allows to compute the state-of-the-art visualizations for a wide variety of common benchmark functions.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Simultaneously visualizing the decision and objective space of continuous multi-objective optimization problems (MOPs) recently provided key contributions in understanding the structure of their landscapes. For the sake of advancing these recent findings, we compiled all state-of-the-art visualization methods in a single R-package (moPLOT). Moreover, we extended these techniques to handle three-dimensional decision spaces and propose two solutions for visualizing the resulting volume of data points. This enables - for the first time - to illustrate the landscape structures of three-dimensional MOPs. However, creating these visualizations using the aforementioned framework still lays behind a high barrier of entry for many people as it requires basic skills in R. To enable any user to create and explore MOP landscapes using moPLOT, we additionally provide a dashboard that allows to compute the state-of-the-art visualizations for a wide variety of common benchmark functions through an interactive (web-based) user interface.

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