- author = "David James Landaeta",
- title = "Automated feature extraction using genetic programming",
- howpublished = "USA Patent",
- year = "2024",
- month = "30 " # apr,
- note = "US 11,972,842 B2",
- keywords = "genetic algorithms, genetic programming, USPTO, G06F8/31",
-
URL = "
https://patentsgazette.uspto.gov/week18/OG/html/1521-5/US11972842-20240430.html",
-
URL = "https://patents.google.com/patent/US11972842B2/en",
-
URL = "
https://patentimages.storage.googleapis.com/36/69/6f/34112b0adf3b50/US11972842.pdf",
- size = "24 pages",
- abstract = "A method evolves generic computational building blocks. The method obtains a parent population with programs that encode functions. The method also obtains a list of randomly generated test inputs. The method generates a target dataset that includes input-output pairs of randomly generated binary strings. The method also applies a fitness function to assign a fitness score to each program, based on the target dataset. The method grows a seed list by applying genetic operators, and selecting offspring that satisfy a novelty condition. The novelty condition is representative of an ability of a program to produce unique output for the list of randomly generated test inputs. The method iterates until a terminating condition has been satisfied. The terminating condition is representative of an ability of programs in the seed list to solve one or more genetic programming instances.",
-
notes = "See also USA patents 10,956,129 and 11,501,850
Natural Computation LLC",
