moocore-package: moocore: Core Mathematical Functions for Multi-Objective...

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moocore: Core Mathematical Functions for Multi-Objective Optimization

Description

Fast implementation of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/3-540-44719-9_15")}, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/CEC.2006.1688440")}, epsilon indicator, inverted generational distance, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ejor.2014.07.032")}, among others.

Author(s)

Maintainer: Manuel López-Ibáñez manuel.lopez-ibanez@manchester.ac.uk (ORCID)

Other contributors:

  • Carlos Fonseca [contributor]

  • Luís Paquete [contributor]

  • Andreia P. Guerreiro [contributor]

  • Mickaël Binois [contributor]

  • Michael H. Buselli (AVL-tree library) [copyright holder]

  • Wessel Dankers (AVL-tree library) [copyright holder]

  • NumPy Developers (RNG and ziggurat constants) [copyright holder]

  • Jean-Sebastien Roy (mt19937 library) [copyright holder]

  • Makoto Matsumoto (mt19937 library) [copyright holder]

  • Takuji Nishimura (mt19937 library) [copyright holder]

See Also

Useful links:


moocore documentation built on Aug. 8, 2025, 6:12 p.m.