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On the Computation of the Empirical Attainment Function.

, , , and . EMO, volume 6576 of Lecture Notes in Computer Science, page 106-120. Springer, (2011)

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Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results., and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 814-823. Springer, (2016)A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms., , , and . PPSN, volume 8672 of Lecture Notes in Computer Science, page 672-681. Springer, (2014)Constraint-Based Techniques in Stochastic Local Search MaxSAT Solving., , , , and . CP, volume 11802 of Lecture Notes in Computer Science, page 232-250. Springer, (2019)The Hypervolume Indicator: Computational Problems and Algorithms., , and . ACM Comput. Surv., 54 (6): 119:1-119:42 (2022)Tutorials at PPSN 2016., , , , , , , , , and 19 other author(s). PPSN, volume 9921 of Lecture Notes in Computer Science, page 1012-1022. Springer, (2016)On the Computation of the Empirical Attainment Function., , , and . EMO, volume 6576 of Lecture Notes in Computer Science, page 106-120. Springer, (2011)Exact and approximate determination of the Pareto front using Minimal Correction Subsets., , , , , , and . Comput. Oper. Res., (May 2023)Greedy Hypervolume Subset Selection in the Three-Objective Case., , and . GECCO, page 671-678. ACM, (2015)A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions., , and . CCCG, page 77-82. (2012)