Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics

This repository contains the code for the paper "Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics". The paper is accepted at GECCO 2024 and is available at arXiv.

Description of important files and folders:

• implement: implementation of the proposed genetic algorithms.
• benchmark: benchmark experiments for the proposed genetic algorithms.
• BRKGA.hpp: CPP implementation of the Biased Random-key Genetic Algorithm (BRKGA).
• benchmark.ipynb: Jupyter notebook for the benchmark experiments.
• results.csv: results of the experiments.