{"id":16275942,"url":"https://github.com/gvegayon/abcoptim","last_synced_at":"2025-03-16T13:31:22.098Z","repository":{"id":11313497,"uuid":"13732591","full_name":"gvegayon/ABCoptim","owner":"gvegayon","description":"An implementation of the Artificial Bee Colony (ABC) Algorithm","archived":false,"fork":false,"pushed_at":"2023-05-26T00:30:42.000Z","size":2443,"stargazers_count":30,"open_issues_count":1,"forks_count":18,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-02-27T09:43:53.836Z","etag":null,"topics":["artificial-bee-colony","optimization","r","r-programming","rcpp","stochastic-optimizers"],"latest_commit_sha":null,"homepage":"https://gvegayon.github.io/ABCoptim","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gvegayon.png","metadata":{"files":{"readme":"README.Rmd","changelog":"ChangeLog","contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null},"funding":{"github":"gvegayon","patreon":null,"open_collective":null,"ko_fi":null,"tidelift":null,"community_bridge":null,"liberapay":null,"issuehunt":null,"otechie":null,"lfx_crowdfunding":null,"custom":null}},"created_at":"2013-10-21T03:58:17.000Z","updated_at":"2024-12-05T12:44:07.000Z","dependencies_parsed_at":"2022-09-10T17:21:02.037Z","dependency_job_id":"0967c20d-ce4f-4e82-91ba-d047e95519f3","html_url":"https://github.com/gvegayon/ABCoptim","commit_stats":{"total_commits":48,"total_committers":1,"mean_commits":48.0,"dds":0.0,"last_synced_commit":"3b5380aad34a0c5288d391ede695ce683c0163ee"},"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gvegayon%2FABCoptim","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gvegayon%2FABCoptim/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gvegayon%2FABCoptim/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gvegayon%2FABCoptim/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gvegayon","download_url":"https://codeload.github.com/gvegayon/ABCoptim/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243817064,"owners_count":20352491,"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":["artificial-bee-colony","optimization","r","r-programming","rcpp","stochastic-optimizers"],"created_at":"2024-10-10T18:46:14.624Z","updated_at":"2025-03-16T13:31:21.248Z","avatar_url":"https://github.com/gvegayon.png","language":"C++","funding_links":["https://github.com/sponsors/gvegayon"],"categories":[],"sub_categories":[],"readme":"---\noutput:\n  github_document:\n    html_preview: false\n---\n\n\n```{r include=FALSE}\nknitr::opts_chunk$set(fig.path = \"man/figures/\", warning = FALSE)\n```\n\n[![CRAN status](https://www.r-pkg.org/badges/version/ABCoptim)](https://cran.r-project.org/package=ABCoptim)\n[![Downloads](https://cranlogs.r-pkg.org/badges/ABCoptim)](http://cran.rstudio.com/package=ABCoptim)\n[![](https://cranlogs.r-pkg.org/badges/grand-total/ABCoptim)](http://cran.rstudio.com/package=ABCoptim) \n[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/gvegayon/ABCoptim?branch=master\u0026svg=true)](https://ci.appveyor.com/project/gvegayon/ABCoptim)\n[![Travis-CI Build Status](https://travis-ci.org/gvegayon/ABCoptim.svg?branch=master)](https://travis-ci.org/gvegayon/ABCoptim)\n[![codecov](https://codecov.io/gh/gvegayon/ABCoptim/branch/master/graph/badge.svg)](https://codecov.io/gh/gvegayon/ABCoptim)\n[![DOI](https://zenodo.org/badge/13732591.svg)](https://zenodo.org/badge/latestdoi/13732591)\n[![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)\n[![Sponsor](https://img.shields.io/badge/-Sponsor-fafbfc?logo=GitHub%20Sponsors)](https://github.com/sponsors/gvegayon)\n\n\n# ABCoptim: An implementation of the Artificial Bee Colony (ABC) Algorithm \u003cimg src=\"man/figures/logo.png\" align=\"right\" height=\"300px\"/\u003e\n\nThis is an implementation of Karaboga (2005) ABC optimization algorithm. It was developed upon the basic version programmed in *C* and distributed at the algorithm's official website (see the references).\n  \nAny evident (precision) error should be blamed to the package author (not to the algorithm itself).\n\n# Example\n\n```{r example1}\nlibrary(ABCoptim)\n\n# Function to optimize. Min at (pi,pi)\nfun \u003c- function(x) {\n  -cos(x[1])*cos(x[2])*exp(-((x[1] - pi)^2 + (x[2] - pi)^2))\n}\n\n# Since it is stochastic, we need to set a seed to get the same\n# results.\nset.seed(123)\n\n# Finding the minimum\nans \u003c- abc_optim(rep(10,2), fun, lb=-20, ub=20, criter=200)\nans\n\nplot(ans)\n```\n\n\nReferences\n==========\n\nD. Karaboga, _An Idea based on Honey Bee Swarm for Numerical Optimization_, tech. report TR06,Erciyes University, Engineering Faculty, Computer Engineering Department, 2005 http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf\n\nArtificial Bee Colony (ABC) Algorithm (website) http://mf.erciyes.edu.tr/abc/index.htm\n\nBasic version of the algorithm implemented in 'C' (ABC's official website) http://mf.erciyes.edu.tr/abc/form.aspx\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgvegayon%2Fabcoptim","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgvegayon%2Fabcoptim","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgvegayon%2Fabcoptim/lists"}