moocore-package {moocore} | R Documentation |
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) 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.
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:
Report bugs at https://github.com/multi-objective/moocore/issues