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adagio (version 0.9.2)

Discrete and Global Optimization Routines

Description

The R package 'adagio' will provide methods and algorithms for (discrete) optimization, e.g. knapsack and subset sum procedures, derivative-free Nelder-Mead and Hooke-Jeeves minimization, and some (evolutionary) global optimization functions.

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Version

Install

install.packages('adagio')

Monthly Downloads

1,633

Version

0.9.2

License

GPL (>= 3)

Maintainer

HwB

Last Published

October 26th, 2023

Functions in adagio (0.9.2)

maxquad

The MAXQUAD Test Function
maxsub

Maximal Sum Subarray
neldermead

Nelder-Mead Minimization Method
subsetsum

Subset Sum Problem
simpleEA

Simple Evolutionary Algorithm
transfinite

Boxed Region Transformation
SIAM test functions

Trefethen and Wagon Test Functions
change_making

Change Making Problem
occurs

Finding Subsequences
CMAES

Covariance Matrix Adaptation Evolution Strategy
bpp_approx

Approximate Bin Packing
assignment

Linear Sum Assignment Problem
hookejeeves

Hooke-Jeeves Minimization Method
knapsack

0-1 Knapsack Problem
fminviz,flineviz

Visualize Function Minimum
hamiltonian

Finds a Hamiltonian path or cycle
Historize

Historize function
maxempty

Maximally Empty Rectangle Problem
Testfunctions

Optimization Test Functions
mknapsack

Multiple 0-1 Knapsack Problem
setcover

Set cover problem
simpleDE

Simple Differential Evolution Algorithm