Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks - appendix

This repository is an appendix to “Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks”. For our paper on parameter reduction in MSG Landscape, please refer to "GECCO2026__Landscape_Aware_Benchmarks.pdf". We have published the experimental code for this paper on GitHub. If you wish to run the RQ3 experiments without running the NS experiments, please download the ZIP file uploaded to this repository and place the directory in the appropriate location (please refer to the GitHub repository for details).