{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9785886","patent":{"patent_number":"US-9785886","title":"Cooperative execution of a genetic algorithm with an efficient training algorithm for data-driven model creation","assignee":null,"inventors":[],"filing_date":"2017-04-17T00:00:00.000Z","publication_date":"2017-10-10T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N"],"num_claims":20,"abstract":"A method includes, based on a fitness function, selecting a subset of models from a plurality of models. The plurality of models is generated based on a genetic algorithm and corresponds to a first epoch of the genetic algorithm. Each of the plurality of models includes data representative of a neural network. The method also includes performing at least one genetic operation of the genetic algorithm with respect to at least one model of the subset to generate a trainable model and sending the trainable model to an optimization trainer. The method includes adding a trained model received from the optimization trainer as input to a second epoch of the genetic algorithm that is subsequent to the first epoch."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Cooperative execution of a genetic algorithm with an efficient training algorithm for data-driven model creation","description":"A method includes, based on a fitness function, selecting a subset of models from a plurality of models. The plurality of models is generated based on a genetic algorithm and corresponds to a first ep","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9785886","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9785886","citation_suggestion":"Patentable. \"Cooperative execution of a genetic algorithm with an efficient training algorithm for data-driven model creation\" (US-9785886). https://patentable.app/patents/US-9785886","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9785886","json":"https://patentable.app/api/llm-context/US-9785886","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T13:36:48.039Z"}