{"id":20572661,"url":"https://github.com/atoosaparsa/gecco-2022","last_synced_at":"2026-04-10T21:39:11.838Z","repository":{"id":179822023,"uuid":"480590251","full_name":"AtoosaParsa/gecco-2022","owner":"AtoosaParsa","description":"Code for \"Evolving Programmable Computational Metamaterials\", Parsa et al., GECCO 2022","archived":false,"fork":false,"pushed_at":"2024-01-14T07:47:24.000Z","size":726,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-06T10:23:51.565Z","etag":null,"topics":["evolutionary-computation","granular-material","inverse-design","metamaterials","multiobjective-optimization","programmable-matter","unconventional-computing","wave-based"],"latest_commit_sha":null,"homepage":"","language":"Python","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/AtoosaParsa.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":"2022-04-11T23:54:25.000Z","updated_at":"2024-09-06T11:05:55.000Z","dependencies_parsed_at":"2024-01-24T20:49:14.589Z","dependency_job_id":null,"html_url":"https://github.com/AtoosaParsa/gecco-2022","commit_stats":null,"previous_names":["atoosaparsa/gecco-2022"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AtoosaParsa/gecco-2022","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtoosaParsa%2Fgecco-2022","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtoosaParsa%2Fgecco-2022/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtoosaParsa%2Fgecco-2022/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtoosaParsa%2Fgecco-2022/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AtoosaParsa","download_url":"https://codeload.github.com/AtoosaParsa/gecco-2022/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AtoosaParsa%2Fgecco-2022/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31660626,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-10T17:19:37.612Z","status":"ssl_error","status_checked_at":"2026-04-10T17:19:13.364Z","response_time":98,"last_error":"SSL_read: 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":["evolutionary-computation","granular-material","inverse-design","metamaterials","multiobjective-optimization","programmable-matter","unconventional-computing","wave-based"],"created_at":"2024-11-16T05:22:54.072Z","updated_at":"2026-04-10T21:39:11.822Z","avatar_url":"https://github.com/AtoosaParsa.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Evolving Programmable Computational Metamaterials\n\u003cbr/\u003e\n  \nThis repository contains the code for the experiments in the following paper:\n\n[Atoosa Parsa, Dong Wang, Corey S. O’Hern, Mark D. Shattuck, Rebecca Kramer-Bottiglio, and Josh Bongard. (2022, July). Evolving programmable computational metamaterials. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 122-129).](https://dl.acm.org/doi/abs/10.1145/3512290.3528861)\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/AtoosaParsa/gecco-2022/blob/main/outline.png\"  width=\"900\"\u003e\n\u003c/p\u003e\n\n\u003c/br\u003e\n\u003c/br\u003e\n\n[Watch a video of the simulation.](https://youtu.be/G2DXIDL-3OU)\n\n\u003cbr/\u003e \n\nBibtex\n------------\n\u003cpre\u003e\n@inproceedings{parsa2022evolving,\n\u0026nbsp;\u0026nbsp; title={Evolving programmable computational metamaterials},\n\u0026nbsp;\u0026nbsp; author={Parsa, Atoosa and Wang, Dong and O'Hern, Corey S and Shattuck, Mark D and Kramer-Bottiglio, Rebecca and Bongard, Josh},\n\u0026nbsp;\u0026nbsp; booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},\n\u0026nbsp;\u0026nbsp; pages={122--129},\n\u0026nbsp;\u0026nbsp; year={2022}\n}\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatoosaparsa%2Fgecco-2022","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fatoosaparsa%2Fgecco-2022","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatoosaparsa%2Fgecco-2022/lists"}