CRAN/E | Rmalschains

Rmalschains

Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R

Installation

About

An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains). Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.

Citation Rmalschains citation info

Key Metrics

Version 0.2-9
Published 2023-01-17 466 days ago
Needs compilation? yes
License GPL-3
License File
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Maintainer

Maintainer

Christoph Bergmeir

c.bergmeir@decsai.ugr.es

Authors

Christoph Bergmeir

aut / cre / cph

José M. Benítez

ths

Daniel Molina

aut / cph

Robert Davies

ctb / cph

(Developer of the matrix library newmat which partly ships with this package)

Dirk Eddelbuettel

ctb / cph

(Developer of RcppDE from which code was used in evaluate.h)

Nikolaus Hansen

ctb / cph

(Author of the original cmaes implementation that ships with the package)

Material

ChangeLog
Reference manual
Package source

In Views

MachineLearning
Optimization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Rmalschains archive

Depends

Rcpp ≥ 0.9.10

Suggests

inline

LinkingTo

Rcpp

Reverse Imports

hybridEnsemble

Reverse Suggests

airGR
MSCMT