1. Blank, J., Deb, K.: Pymoo: Multi-objective optimization in python. IEEE Access 8, 89497–89509 (2020)
2. Breiman, L.: Random forests. Machine learning 45(1), 5–32 (2001)
3. Chankong, V., Haimes, Y.Y.: Multiobjective decision making: theory and methodology. Dover Publications Inc., New York, United States (1983)
4. Deb, K., Goldberg, D.E.: An investigation of niche and species formation in genetic function optimization. In: Proceedings of the third international conference on Genetic algorithms. pp. 42–50 (1989)
5. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE transactions on evolutionary computation 6(2), 182–197 (2002)