1. Bellomo, D., Naso, D., Turchiano, B.: Improving genetic algorithms: an approach based on multi-elitism and Lamarckian mutation. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 4, p. 6. IEEE (2002)
2. Lecture Notes in Computer Science;E Ciepiela,2008
3. Coello, C.A.C., Lamont, G.B., Van Veldhuizen, D.A., et al.: Evolutionary algorithms for solving multi-objective problems, vol. 5. Springer, Boston (2007). https://doi.org/10.1007/978-1-4757-5184-0
4. Corne, D.W., Jerram, N.R., Knowles, J.D., Oates, M.J.: PESA-II: region-based selection in evolutionary multiobjective optimization. In: Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation, pp. 283–290 (2001)
5. Lecture Notes in Computer Science;K Deb,2000