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moocore: Core Mathematical Functions for Multi-Objective Optimization
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) <doi:10.1007/3-540-44719-9_15>, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <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) <doi:10.1016/j.ejor.2014.07.032>, among others.
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Package details |
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| Author | 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) |
| Maintainer | Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk> |
| License | LGPL (>= 2.1) |
| Version | 0.1.8 |
| URL | https://multi-objective.github.io/moocore/r/ https://github.com/multi-objective/moocore/tree/main/r |
| Package repository | View on CRAN |
| Installation |
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