2026-06-07T04:38:44Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/68632026-02-03T12:43:58Zcom_10630_2254col_10630_37957

Evolutionary Development based on Genetic Regulatory Models for Behavior-Finding Lobo Fernández, Daniel Vico-Vela, Francisco José Computación evolutiva - Tesis doctorales Evolutionary computation Behavior-finding Graph grammar Artificial development Artificial regulatory network This thesis investigates the role, implications, and applications of a genetic-regulated developmental process in evolution. A novel formalism of string-regulated graph grammar, as an abstraction of biological development, is presented and studied. Founded on this formalism, evolutionary developmental models are introduced and tested. The results demonstrate the benefits of the models, compared to traditional direct encoding approaches, for the problems of form-finding and behavior-finding. 2014-01-14T08:31:12Z 2014-04-13T04:00:03Z 2014 doctoral thesis http://hdl.handle.net/10630/6863 eng open access application/pdf Universidad de Málaga, Servicio de Publicaciones