Core Mathematical Functions for Multi-Objective Optimization R package moocore version 0.3.2 CRAN Task View: Optimization (https://CRAN.R-project.org/view=Optimization) Fast implementations of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others. Software Depends: R (>= 4.1) Imports: matrixStats, Rdpack (>= 2.4) Suggests: doctest (>= 0.4.0), spelling, testthat (>= 3.2.0), withr Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk> Comprehensive R Archive Network (CRAN) Manuel López-Ibáñez [aut, cre] (ORCID: <https://orcid.org/0000-0001-9974-1295>), Carlos Fonseca [ctb], Luís Paquete [ctb], Andreia P. Guerreiro [ctb], Mickaël Binois [ctb], Michael H. Buselli [cph] (AVL-tree library), Wessel Dankers [cph] (AVL-tree library), NumPy Developers [cph] (RNG and ziggurat constants), Jean-Sebastien Roy [cph] (mt19937 library), Makoto Matsumoto [cph] (mt19937 library), Takuji Nishimura [cph] (mt19937 library) LGPL (>= 2.1) 2026-07-12 application/tgz https://CRAN.R-project.org/package=moocore doi:10.32614/CRAN.package.moocore en-GB