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

TL;DR

This paper introduces moPLOT, an R-package and web dashboard that visualizes multi-objective optimization landscapes in 2D and 3D, making advanced visualization techniques accessible and interactive for users.

Contribution

The paper presents a comprehensive R-package and web dashboard that enable visualization of multi-objective landscapes, including 3D decision spaces, with user-friendly interfaces.

Findings

Extended visualization techniques to 3D decision spaces.

Provided an interactive web dashboard for easy visualization.

Enabled exploration of complex MOP landscapes with minimal technical skills.

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.