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References

Auger, A., Bader, J., Brockhoff, D., & Zitzler, E. (2012). Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theoretical Computer Science, 425, 75–103. https://doi.org/10.1016/j.tcs.2011.03.012
Fonseca, C. M., Paquete, L., & López-Ibáñez, M. (2006). An improved dimension-sweep algorithm for the hypervolume indicator. Proceedings of the 2006 Congress on Evolutionary Computation (CEC 2006), 1157–1163. https://doi.org/10.1109/CEC.2006.1688440
Guerreiro, A. P., Fonseca, C. M., & Paquete, L. (2021). The hypervolume indicator: Computational problems and algorithms. ACM Comput. Surv., 54(6). https://doi.org/10.1145/3453474
Russo, L. M. S., & Francisco, A. P. (2014). Quick hypervolume. IEEE Transactions on Evolutionary Computation, 18(4), 481–502. https://doi.org/10.1109/TEVC.2013.2281525
Zitzler, E., & Thiele, L. (1998). Multiobjective optimization using evolutionary algorithms — a comparative case study. In A. E. Eiben, T. Bäck, M. Schoenauer, & H.-P. Schwefel (Eds.), Parallel problem solving from nature — PPSN V (pp. 292–301). Springer Berlin Heidelberg. https://doi.org/10.1007/BFb0056872