Package: emoa 0.5-3

emoa: Evolutionary Multiobjective Optimization Algorithms

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

Authors:Olaf Mersmann [aut, cre]

emoa_0.5-3.tar.gz
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emoa_0.5-3.tgz(r-4.6-x86_64)emoa_0.5-3.tgz(r-4.6-arm64)emoa_0.5-3.tgz(r-4.5-x86_64)emoa_0.5-3.tgz(r-4.5-arm64)
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emoa_0.5-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
emoa/json (API)

# Install 'emoa' in R:
install.packages('emoa', repos = c('https://olafmersmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/olafmersmann/emoa/issues

Datasets:
  • cec2007 - CEC 2007 multiobjective optimization competition results

On CRAN:

Conda:

6.62 score 8 stars 5 packages 68 scripts 5.1k downloads 2 mentions 41 exports 0 dependencies

Last updated from:76922804bd. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK156
linux-devel-x86_64OK128
source / vignettesOK178
linux-release-arm64OK157
linux-release-x86_64OK116
macos-release-arm64OK80
macos-release-x86_64OK203
macos-oldrel-arm64OK82
macos-oldrel-x86_64OK216
windows-develOK68
windows-releaseOK71
windows-oldrelOK88
wasm-releaseOK85

Exports:coalescecrowding_distancedominance_matrixdominated_hypervolumeemoa_console_loggeremoa_controlemoa_loggeremoa_null_loggerepsilon_indicatorhypervolume_contributionhypervolume_indicatorinboundsis_dominatedis_maximally_dominatednds_cd_selectionnds_hv_selectionnds_ranknondominated_orderingnondominated_pointsnormalize_pointspm_controlpm_operatorr1_indicatorr2_indicatorr3_indicatorsbx_controlsbx_operatorsteady_state_emoa_controlsympartUF1UF10UF2UF3UF4UF5UF6UF7UF8UF9unary_r2_indicatorwhich_points_on_edge

Dependencies: