# Visualizing Multimodality in Combinatorial Search Landscapes

arXiv: https://arxiv.org/abs/2510.06517 · HTML: https://mlsanity.com/paper/2510.06517/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 12 references that are in the map.
- First posted on arXiv 7 Oct 2025.

## Builds on (most cited first, 3 of 3)

- [Certified Global Minima for a Benchmark of Difficult Optimization Problems](https://mlsanity.com/paper/2003.09867/) (2020)
- [Stalling in Space: Attractor Analysis for any Algorithm](https://mlsanity.com/paper/2412.15848/) (2024)
- [Populations can be essential in tracking dynamic optima](https://mlsanity.com/paper/1607.03317/) (2016)

## Abstract (arXiv)

This work walks through different visualization techniques for combinatorial search landscapes, focusing on multimodality. We discuss different techniques from the landscape analysis literature, and how they can be combined to provide a more comprehensive view of the search landscape. We also include examples and discuss relevant work to show how others have used these techniques in practice, based on the geometric and aesthetic elements of the Grammar of Graphics. We conclude that there is no free lunch in visualization, and provide recommendations for future work as there are several paths to continue the work in this field.