Pseudo-Boolean Optimization

In this project, the task was to visualize the search space of various pseudo-boolean optimization problems, and to describe the algorithm behavior of various bio-inspired algorithms on these search spaces. The three implemented algorithms (an evolutionary algorithm, a multi objective evolutionary algorithm, and a swarm intelligence algorithm) were compared on the various landscapes, and tested against a set of more difficult landscapes.

If you would like to learn about the implemented algorithms, and their behavior on the various landscapes, you can find the report for the project here.

This project was created as part of the course "Bio-inspired AI" at the Norwegian University of Science and Technology (NTNU) in spring 2026, where it received full marks.

Below are various visualizations of algorithm behavior, further described in the report.