{"id":25666235,"url":"https://github.com/enricoschumann/neighbours","last_synced_at":"2026-07-06T12:30:27.210Z","repository":{"id":41570197,"uuid":"162145014","full_name":"enricoschumann/neighbours","owner":"enricoschumann","description":"Neighbourhood Functions for Local-Search Algorithms","archived":false,"fork":false,"pushed_at":"2023-09-22T05:23:54.000Z","size":71,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-01-28T09:42:53.538Z","etag":null,"topics":["algorithms","local-search","machine-learning","neighbourhood-functions","neighbours","simulated-annealing","subset-selection","threshold-accepting"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/enricoschumann.png","metadata":{"files":{"readme":"README.md","changelog":"ChangeLog","contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2018-12-17T14:44:21.000Z","updated_at":"2022-07-04T07:46:45.000Z","dependencies_parsed_at":"2024-01-16T10:35:54.709Z","dependency_job_id":"89d7969a-672a-45cd-a4d1-3cf564291493","html_url":"https://github.com/enricoschumann/neighbours","commit_stats":{"total_commits":42,"total_committers":1,"mean_commits":42.0,"dds":0.0,"last_synced_commit":"8e39b27f391092833e9934e8adc8e42c55fa9750"},"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoschumann%2Fneighbours","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoschumann%2Fneighbours/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoschumann%2Fneighbours/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoschumann%2Fneighbours/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enricoschumann","download_url":"https://codeload.github.com/enricoschumann/neighbours/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240441954,"owners_count":19801793,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithms","local-search","machine-learning","neighbourhood-functions","neighbours","simulated-annealing","subset-selection","threshold-accepting"],"created_at":"2025-02-24T08:19:23.067Z","updated_at":"2026-07-06T12:30:27.152Z","avatar_url":"https://github.com/enricoschumann.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# neighbours\n\nNeighbourhood functions are key components of\nlocal-search algorithms such as Simulated Annealing or\nThreshold Accepting.  These functions take a solution\nand return a slightly-modified copy of it, i.e. a\nneighbour.  The package provides a single function,\nneighbourfun(), that produce a neighbourhood function,\nbased on various parameters such as minimum or maximum\nvalues.  Currently supported are numeric and logical\nsolutions.  The algorithms were originally created for\nportfolio-optimization models, but can also be used for\nother models.\n\n[ [More] ](http://enricoschumann.net/R/packages/neighbours/)\n\n## Installing the package\n\nThe latest released version is available from\nhttp://enricoschumann.net. In an R session, just type:\n\n    install.packages('neighbours,\n                     repos = c('http://enricoschumann.net/R', getOption('repos')))\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenricoschumann%2Fneighbours","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenricoschumann%2Fneighbours","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenricoschumann%2Fneighbours/lists"}