To alleviate the problem of early convergence, I proposed a variant of NSGA-II with ALPS as part of my master thesis.

The algorithm was implemented as a plugin for the HeuristicLab Framework (https://dev.heuristiclab.com/trac.fcgi/).

References

• Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T. (2000, September). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In International conference on parallel problem solving from nature (pp. 849-858). Springer, Berlin, Heidelberg.
• Hornby, G. S. (2006, July). ALPS: the age-layered population structure for reducing the problem of premature convergence. In Proceedings of the 8th annual conference on Genetic and evolutionary computation (pp. 815-822). ACM.
• Wagner, S., Kronberger, G., Beham, A., Kommenda, M., Scheibenpflug, A., Pitzer, E., ... & Affenzeller, M. (2014). Architecture and design of the heuristiclab optimization environment. In Advanced methods and applications in computational intelligence (pp. 197-261). Springer, Heidelberg.