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moocore  

Core Mathematical Functions for Multi-Objective Optimization
View on CRAN: Click here


Download and install moocore package within the R console
Install from CRAN:
install.packages("moocore")

Install from Github:
library("remotes")
install_github("cran/moocore")

Install by package version:
library("remotes")
install_version("moocore", "0.1.2")



Attach the package and use:
library("moocore")
Maintained by
Manuel López-Ibáñez
[Scholar Profile | Author Map]
First Published: 2024-07-28
Latest Update: 2024-07-28
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, andVorob\'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
How to cite:
Manuel López-Ibáñez (2024). moocore: Core Mathematical Functions for Multi-Objective Optimization. R package version 0.1.2, https://cran.r-project.org/web/packages/moocore. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-07-28 22:50)
Other packages that cited moocore R package
View moocore citation profile
Other R packages that moocore depends, imports, suggests or enhances
Complete documentation for moocore
Functions, R codes and Examples using the moocore R package
Full moocore package functions and examples
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