{"id":15685943,"url":"https://github.com/hvass-labs/optimization-papers","last_synced_at":"2026-02-06T18:11:12.605Z","repository":{"id":129938069,"uuid":"331328731","full_name":"Hvass-Labs/Optimization-Papers","owner":"Hvass-Labs","description":"Archive of my older research papers on optimization","archived":false,"fork":false,"pushed_at":"2021-01-20T14:54:54.000Z","size":4755,"stargazers_count":10,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-07-17T18:16:29.629Z","etag":null,"topics":["blackbox-optimization","differential-evolution","hyperparameter-optimization","meta-heuristic","particle-swarm-optimization","random-search"],"latest_commit_sha":null,"homepage":"","language":null,"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/Hvass-Labs.png","metadata":{"files":{"readme":"README.md","changelog":null,"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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-01-20T14:19:42.000Z","updated_at":"2025-04-15T06:47:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"1375082a-dd13-4110-b658-ebaf9cb7d29d","html_url":"https://github.com/Hvass-Labs/Optimization-Papers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Hvass-Labs/Optimization-Papers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hvass-Labs%2FOptimization-Papers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hvass-Labs%2FOptimization-Papers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hvass-Labs%2FOptimization-Papers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hvass-Labs%2FOptimization-Papers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Hvass-Labs","download_url":"https://codeload.github.com/Hvass-Labs/Optimization-Papers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hvass-Labs%2FOptimization-Papers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29171275,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-06T16:33:35.550Z","status":"ssl_error","status_checked_at":"2026-02-06T16:33:30.716Z","response_time":59,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["blackbox-optimization","differential-evolution","hyperparameter-optimization","meta-heuristic","particle-swarm-optimization","random-search"],"created_at":"2024-10-03T17:33:34.165Z","updated_at":"2026-02-06T18:11:12.590Z","avatar_url":"https://github.com/Hvass-Labs.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Optimization Papers \u0026amp; PhD Thesis\n\nThis is an archive of my research papers and PhD thesis on optimization.\n\n\n## Papers\n\n- [Tuning \u0026amp; Simplifying Heuristical Optimization (PhD Thesis)](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2010phd-thesis.pdf)\n\n- [Simplifying Particle Swarm Optimization](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2009simplifying-pso.pdf)\n\n- [Good Parameters for Particle Swarm Optimization](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2010good-pso-parameters.pdf)\n\n- [Good Parameters for Differential Evolution](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2010good-de-parameters.pdf)\n\n- [Local Unimodal Sampling](https://github.com/Hvass-Labs/Optimization-Papers/raw/main/pedersen2008lus.pdf)\n\n\n## Source-Code\n\n- [SwarmOps for Python](https://github.com/Hvass-Labs/swarmops) and [other languages](https://github.com/Hvass-Labs/swarmops-other) was used for the research in my PhD thesis and research papers.\n\n- [MetaOps](https://github.com/Hvass-Labs/MetaOps) is my newest and most advanced research on optimization written as Python Notebooks.\n\n\n## Videos\n\n- [Videos](https://www.youtube.com/playlist?list=PL9Hr9sNUjfsl1877BS8m3yt8t_wq2IWji) with my lectures on Meta-Optimization.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhvass-labs%2Foptimization-papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhvass-labs%2Foptimization-papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhvass-labs%2Foptimization-papers/lists"}