Mostrar el registro sencillo del ítem
Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach
dc.contributor.author | ALVARADO-INIESTA, ALEJANDRO | |
dc.date.accessioned | 2018-12-07T18:19:53Z | |
dc.date.available | 2018-12-07T18:19:53Z | |
dc.date.issued | 2018-06 | |
dc.identifier.uri | http://cathi.uacj.mx/20.500.11961/4666 | |
dc.description.abstract | This work addresses the optimization of an engine mount design from a multi-objective scenario. Our methodology is divided into three phases: phase one focuses on data collection through computer simulations. The objectives considered during the analyses are: total mass, first natural frequency and maximum von Mises stress. In phase two, a surrogate model by means of genetic programming is generated for each one of the objectives. Moreover, a local search procedure is incorporated into the overall genetic programming algorithm for improving its performance. Finally, in phase three, instead of steering the search to finding the approximate Pareto front, a local exploration approach based on a change in the weight space is used to lead a search into user defined directions turning the decision making more intuitive. | es_MX |
dc.description.uri | https://link.springer.com/article/10.1007/s10845-018-1432-9#citeas | es_MX |
dc.language.iso | en | es_MX |
dc.relation.ispartof | Producto de investigación IIT | es_MX |
dc.relation.ispartof | Instituto de Ingeniería y Tecnología | es_MX |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.subject | Structural optimization | es_MX |
dc.subject | Multi-objective optimization | es_MX |
dc.subject | Genetic programming | es_MX |
dc.subject | Finite element analysis | es_MX |
dc.subject | Decision making | es_MX |
dc.subject.lcc | Research Subject Categories::MATHEMATICS::Applied mathematics::Optimization, systems theory | es_MX |
dc.subject.lcc | Research Subject Categories::TECHNOLOGY::Industrial engineering and economy::Manufacturing engineering and work sciences::Manufacturing engineering | es_MX |
dc.subject.other | info:eu-repo/classification/cti/7 | es_MX |
dc.title | Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach | es_MX |
dc.type | Artículo | es_MX |
dcterms.thumbnail | http://ri.uacj.mx/vufind/thumbnails/rupiiit.png | es_MX |
dcrupi.instituto | Instituto de Ingeniería y Tecnología | es_MX |
dcrupi.cosechable | Si | es_MX |
dcrupi.subtipo | Investigación | es_MX |
dcrupi.norevista | S/N | es_MX |
dcrupi.volumen | S/V | es_MX |
dcrupi.nopagina | 1-14 | es_MX |
dcrupi.alcance | Nacional | es_MX |
dcrupi.pais | México | es_MX |
dc.identifier.doi | https://doi.org/10.1007/s10845-018-1432-9 | es_MX |
dc.contributor.coauthor | Guillén Anaya, Luis Gonzalo | |
dc.contributor.coauthor | Rodríguez-Picón, Luis Alberto | |
dc.contributor.coauthor | Ñeco Caberta, Raúl | |
dc.journal.title | Journal of Intelligent Manufacturing | es_MX |
dc.lgac | Calidad y Mejoramiento Continuo | es_MX |
dc.cuerpoacademico | Calidad y Optimización | es_MX |