{"pk":31405,"title":"Genetically Generated Neural Networks II: Searching for an Optimal Representation","subtitle":null,"abstract":"Genetic Algorithms (GAs) make use of an internal representation of a given system in order to perform optimization functions. The actual structural layout of this representation, called a genome, has a crucial impact on the outcome of the optimization process. The purpose of this paper is to study the effects of different internal representations in a G A , which generates neural networks. A second G A was used to optimize the genome structure. This structure produces an optimized system within a shorter time interval.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Posters","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6s87b6k9","frozenauthors":[{"first_name":"Leonardo","middle_name":"","last_name":"Marti","name_suffix":"","institution":"Boston University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1992-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31405/galley/22474/download/"}]}