{"id":18851952,"url":"https://github.com/colasgael/genetic-algorithm-for-offline-path-planning","last_synced_at":"2026-05-10T02:42:37.436Z","repository":{"id":111525991,"uuid":"191451416","full_name":"ColasGael/Genetic-Algorithm-for-Offline-Path-Planning","owner":"ColasGael","description":"Genetic Algorithm for Offline Path Planning in 2D maps.","archived":false,"fork":false,"pushed_at":"2019-06-11T21:35:52.000Z","size":1397,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-12-30T16:54:38.902Z","etag":null,"topics":["genetic-algorithm","optimization","path-planning","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ColasGael.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-06-11T21:19:26.000Z","updated_at":"2023-01-16T10:07:06.000Z","dependencies_parsed_at":"2023-06-01T21:00:49.301Z","dependency_job_id":null,"html_url":"https://github.com/ColasGael/Genetic-Algorithm-for-Offline-Path-Planning","commit_stats":{"total_commits":3,"total_committers":2,"mean_commits":1.5,"dds":"0.33333333333333337","last_synced_commit":"c9eccbc8fac6395e311983a47172c8bb521697a6"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ColasGael%2FGenetic-Algorithm-for-Offline-Path-Planning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ColasGael%2FGenetic-Algorithm-for-Offline-Path-Planning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ColasGael%2FGenetic-Algorithm-for-Offline-Path-Planning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ColasGael%2FGenetic-Algorithm-for-Offline-Path-Planning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ColasGael","download_url":"https://codeload.github.com/ColasGael/Genetic-Algorithm-for-Offline-Path-Planning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239789137,"owners_count":19697319,"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":["genetic-algorithm","optimization","path-planning","python"],"created_at":"2024-11-08T03:37:21.186Z","updated_at":"2026-02-04T02:30:16.706Z","avatar_url":"https://github.com/ColasGael.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Genetic-Algorithm-for-Offline-Path-Planning\n\nby Gael Colas and Ianis Bougdal-Lambert, graduate students from Stanford University.\n\nThis repository gathers our final project for the AA222: \"Engineering Design Optimization\" class at Stanford (2018). Our teacher was Pr. Mykel Kochenderfer.\n\nLanguage: Python\n\nGoal: Study the use of a genetic algorithm (GA) for the problem of\noffline path planning on a 2D map. \n\nThe problem can be framed as follow: find the optimal feasible path to move from a starting position to a target location across a flat map of\na terrain with impenetrable obstacles. \n\nA scripts generate maps with variable difficulties. The feasible paths must be evaluated according to two criteria: their length and their difficulty. \nIn a first approach, only the length of the paths was considered in a Single-Objective minimization process. \nThen the initial algorithm was extended to optimize under the two criteria (MOGA), in a Pareto optimality search. \nFinally, the performance of the algorithms was compared to the performance of state-of-the-art Optimal Control tools.\n\nMore details about the project, the data and the model can be found by reading the report and the presentation located at the root: \"aa222_final-report_team12-report.pdf\" and \"aa222_final-presentation_team12.pdf\".","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcolasgael%2Fgenetic-algorithm-for-offline-path-planning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcolasgael%2Fgenetic-algorithm-for-offline-path-planning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcolasgael%2Fgenetic-algorithm-for-offline-path-planning/lists"}