emoa: Evolutionary Multiobjective Optimization Algorithms

Collection of building blocks for the design and analysis of evolutionary multiobjective optimization algorithms.

Version: 0.5-0.1
Suggests: RUnit
Published: 2020-03-06
Author: Olaf Mersmann
Maintainer: Olaf Mersmann <olafm at statistik.tu-dortmund.de>
License: GPL-2
URL: http://www.statistik.tu-dortmund.de/~olafm/software/emoa/
NeedsCompilation: yes
Materials: ChangeLog
In views: Optimization
CRAN checks: emoa results


Reference manual: emoa.pdf


Package source: emoa_0.5-0.1.tar.gz
Windows binaries: r-devel: emoa_0.5-0.1.zip, r-devel-UCRT: emoa_0.5-0.1.zip, r-release: emoa_0.5-0.1.zip, r-oldrel: emoa_0.5-0.1.zip
macOS binaries: r-release (arm64): emoa_0.5-0.1.tgz, r-release (x86_64): emoa_0.5-0.1.tgz, r-oldrel: emoa_0.5-0.1.tgz
Old sources: emoa archive

Reverse dependencies:

Reverse depends: GPareto, STPGA
Reverse imports: GenomicMating, mistral, moko, SPOTMisc
Reverse suggests: mlr, mlr3hyperband, mlrintermbo, mlrMBO, MOEADr, mosmafs, ParamHelpers


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