{ "_id": "6aae45653d719c1f8407a7af", "Package": "neighbours", "Type": "Package", "Title": "Neighbourhood Functions for Local-Search Algorithms", "Version": "0.1-5", "Date": "2025-12-17", "Maintainer": "Enrico Schumann ", "Authors@R": "person(given = \"Enrico\", family = \"Schumann\",\nrole = c(\"aut\", \"cre\"),\nemail = \"es@enricoschumann.net\",\ncomment = c(ORCID = \"0000-0001-7601-6576\"))", "Description": "Neighbourhood functions are key components of local-search\nalgorithms such as Simulated Annealing or Threshold Accepting.\nThese functions take a solution and return a slightly-modified\ncopy of it, i.e. a neighbour. The package provides a function\nneighbourfun() that constructs such neighbourhood functions,\nbased on parameters such as admissible ranges for elements in a\nsolution. Supported are numeric and logical solutions. The\nalgorithms were originally created for portfolio-optimisation\napplications, but can be used for other models as well. Several\nrecipes for neighbour computations are taken from \"Numerical\nMethods and Optimization in Finance\" by M. Gilli, D. Maringer\nand E. Schumann (2019, ISBN:978-0128150658).", "License": "GPL-3", "URL": "https://enricoschumann.net/R/packages/neighbours/ ,\nhttps://sr.ht/~enricoschumann/neighbours/ ,\nhttps://github.com/enricoschumann/neighbours", "Repository": "https://enricoschumann.r-universe.dev", "Date/Publication": "2025-12-17 09:58:28 UTC", "RemoteUrl": "https://github.com/enricoschumann/neighbours", "RemoteRef": "HEAD", "RemoteSha": "c21a43e6951b12f1e7b5a539684fd464cc67b62b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 08:15:55 UTC", "User": "root" }, "Author": "Enrico Schumann [aut, cre] (ORCID:\n)", "_user": "enricoschumann", "_type": "src", "_file": "neighbours_0.1-5.tar.gz", "_fileid": "https://r2.ropensci.org/5dd27d08db4e82ebae987966e9764e028676038ee96753e2a8426f1728b85ace", "_filesize": 375657, "_sha256": "5dd27d08db4e82ebae987966e9764e028676038ee96753e2a8426f1728b85ace", "_expires": "2026-12-28T08:18:43.000Z", "_created": "2026-09-19T08:15:55.000Z", "_published": 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