dc.creatorAnabel Rodríguez Rodríguez
dc.date2019-09
dc.date.accessioned2023-07-21T15:15:43Z
dc.date.available2023-07-21T15:15:43Z
dc.identifierhttp://cio.repositorioinstitucional.mx/jspui/handle/1002/1101
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7725867
dc.description"In the present paper, a Genetic Algorithm (GA) was implemented and applied to nest cutting patterns in Finite Materials, in which a chromosome code of variable size was proposed, that contains the necessary fields to make the combination of the patterns in the material. The objective function is designed with the purpose of minimizing the waste in the material taking into account the patterns and overlapping pixels, which are not outside the valid acommodation area, and maximizing the area occupied by the patterns within the valid acommodation area. The initial population is randomly generated, each generation evolves by applying the selection, crossing mutation operators. Each individual is evaluated by the aptitude function and the best is saved to be compared in each generation and return the best solution."
dc.formatapplication/pdf
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nd/4.0
dc.subjectinfo:eu-repo/classification/Autor/Computer science
dc.subjectinfo:eu-repo/classification/Autor/Genetic algorithm
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/22
dc.subjectinfo:eu-repo/classification/cti/2209
dc.subjectinfo:eu-repo/classification/cti/2209
dc.titleGENETIC ALGORITHM APPLIED TO THE ARRANGEMENT OF CUTTING PATTERNS IN FINITE MATERIALS
dc.typeinfo:eu-repo/semantics/conferencePoster
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.coverageLeón, Guanajuato
dc.audiencegeneralPublic


Este ítem pertenece a la siguiente institución