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neighbours  

Neighbourhood Functions for Local-Search Algorithms
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", "0.1-5")



Attach the package and use:
library("neighbours")
Maintained by
Enrico Schumann
[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 0.1-5, https://cran.r-project.org/web/packages/neighbours. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1-1 (2022-08-18 10:50), 0.1-2 (2022-08-23 12:40), 0.1-3 (2023-09-21 21:00)
Other packages that cited neighbours R package
View neighbours citation profile
Other R packages that neighbours depends, imports, suggests or enhances
Complete documentation for neighbours
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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