{"url":"/method/aging-evolution","slug":"aging-evolution","name":"Aging Evolution","full_name":"Aging Evolution","full_name_withheld":false,"description_markdown":"**Aging Evolution**, or **Regularized Evolution**, is an evolutionary algorithm for [neural architecture search](https://paperswithcode.com/method/neural-architecture-search). Whereas in tournament selection, the best architectures are kept, in aging evolution we associate each genotype with an age, and bias the tournament selection to choose\r\nthe younger genotypes. In the context of architecture search, aging evolution allows us to explore the search space more, instead of zooming in on good models too early, as non-aging evolution would.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Regularized Evolution for Image Classifier Architecture Search","paper":"/paper/regularized-evolution-for-image-classifier","first_author":"Esteban Real","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/regularized-evolution-for-image-classifier"},"source":{"url":"http://arxiv.org/abs/1802.01548v7","title":"Regularized Evolution for Image Classifier Architecture Search","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Neural Architecture Search","url":"/methods/category/neural-architecture-search","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":3,"papers_newest_first":[{"paper":null,"title":"Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS","date":"2021-08-20","arxiv_id":"2108.09126","n_code_links":0,"syntology":null},{"paper":null,"title":"AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data","date":"2020-10-30","arxiv_id":"2010.16358","n_code_links":0,"syntology":null},{"paper":"/paper/regularized-evolution-for-image-classifier","title":"Regularized Evolution for Image Classifier Architecture Search","date":"2018-02-05","arxiv_id":"1802.01548","n_code_links":5,"syntology":null}],"papers_shown":3,"tasks":[{"task":"/task/architecture-search","name":"Neural Architecture Search","papers":3},{"task":"/task/automl","name":"AutoML","papers":1},{"task":"/task/bayesian-optimization","name":"Bayesian Optimization","papers":1},{"task":"/task/evolutionary-algorithms","name":"Evolutionary Algorithms","papers":1},{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/reinforcement-learning","name":"Reinforcement Learning","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2018","papers":1},{"year":"2020","papers":1},{"year":"2021","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/aging-evolution"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}