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neighbours
View on CRAN: Click
here
Download and install neighbours package within the R console
Install from CRAN:
install.packages("neighbours")
Install from Github:
library("remotes")
install_github("cran/neighbours")
Install by package version:
library("remotes")
install_version("neighbours", "0.1-3")
Attach the package and use:
library("neighbours")
Maintained by
Enrico Schumann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-18
Latest Update: 2023-09-21
Description:
Neighbourhood functions are key components of
local-search algorithms such as Simulated Annealing or
Threshold Accepting. These functions take a solution and
return a slightly-modified copy of it, i.e. a neighbour.
The package provides a function neighbourfun() that
constructs such neighbourhood functions, based on
parameters such as admissible ranges for elements in a
solution. Supported are numeric and logical solutions.
The algorithms were originally created for
portfolio-optimisation applications, but can be used for
other models as well. Several recipes for neighbour
computations are taken from "Numerical Methods and
Optimization in Finance" by M. Gilli, D. Maringer and
E. Schumann (2019, ISBN:978-0128150658).
How to cite:
Enrico Schumann (2022). neighbours: Neighbourhood Functions for Local-Search Algorithms. R package version 0.1-3, https://cran.r-project.org/web/packages/neighbours
Other packages that cited neighbours R package
View neighbours citation profile
Other R packages that neighbours depends,
imports, suggests or enhances
Functions, R codes and Examples using
the neighbours R package
Some associated functions: compare_vectors . neighbourfun . next_subset .
Some associated R codes: neighbourfun.R . next_subset.R . Full neighbours package functions and examples
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