Mostrar el registro sencillo del ítem

dc.contributor.authorDíaz, Elkin Yesid Veslinspa
dc.date.accessioned2014-02-28 00:00:00
dc.date.accessioned2022-03-08T16:21:24Z
dc.date.available2014-02-28 00:00:00
dc.date.available2022-03-08T16:21:24Z
dc.date.issued2014-02-28
dc.identifier.issn2346-2329
dc.identifier.urihttps://repositorio.uniboyaca.edu.co/handle/uniboyaca/426
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherUniversidad de Boyacáspa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.sourcehttps://revistasdigitales.uniboyaca.edu.co/index.php/reiv3/article/view/17spa
dc.subjectalgoritmos genéticosspa
dc.subjectaplicación informáticaspa
dc.subjectmetaheurísticaspa
dc.subjectinteligencia artificialspa
dc.subjectgenetic algorithmseng
dc.subjectinformatics applicationeng
dc.subjectmetaheurísticaeng
dc.subjectartificial intelligenceeng
dc.titleAplicación de algoritmos genéticos en problemas de Ingenieríaspa
dc.typeArtículo de revistaspa
dc.typeJournal articleeng
dc.identifier.doi10.24267/23462329.17
dc.identifier.eissn2539-1453
dc.identifier.urlhttps://doi.org/10.24267/23462329.17
dc.relation.bitstreamhttps://revistasdigitales.uniboyaca.edu.co/index.php/reiv3/article/download/17/23
dc.relation.citationeditionNúm. 1 , Año 2014 : Revista I3+, Investigación, Innovación, Ingenieríaspa
dc.relation.citationendpage29
dc.relation.citationissue1spa
dc.relation.citationstartpage10
dc.relation.citationvolume1spa
dc.relation.ispartofjournalI3+spa
dc.relation.referencesAllen, C. T., Haupt, S. E. & Young, G. S. (2007). Source Characterization with a Genetic Algorithm–Coupled Dispersion–Backward Model Incorporating SCIPUFF. Journal of Applications in MeteorClimatology.4(6).273–287.spa
dc.relation.referencesAmorim, L. F., Rodriges, T., Zangeski, J., Gonçalves, A., Meirelles, T., de Musis, C. & De Souza, J. (2011). Adjustment of Brunt’s equation parameters for the Northern Brazilian Pantanal. Journal of Ecology and the Natural Environment. 3(4), 157-162.spa
dc.relation.referencesCalvacanti P., M. A. (1999). Algoritmos Genéticos, Princípios e Aplicações. ICA: Laboratório de Inteligência Computacional Aplicada. Pontifícia Universidade Católica do Rio de Janeiro. Brasil.spa
dc.relation.referencesCastillo, O., & Trujillo, L. (2005). Multiple Objective Optimization Genetic Algorithms For Path Planning In Autonomous Mobile Robots. International Journal of Computers, Systems and Signals. 6(1).48-63.spa
dc.relation.referencesCatania, C. &García, C. (2008).Reconocimiento de patrones en el tráfico de red basado en algoritmos genéticos. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 12(37). 65-75. Asociación Española de Inteligencia Artificial, Valencia, España.spa
dc.relation.referencesCarretero, J, & Xhafa, F. (2006). Use of genetic algorithms for scheduling jobs in large scale GRID applications. Technological and economic development of economy.XII-1, 11–17.spa
dc.relation.referencesCastrillón, O. D., Giraldo, J. A. & Sarache, W. A. (2009). Solución de un problema Job Shop con un agente inteligente. Ingeniería y Ciencia, 5(10), 75-92.spa
dc.relation.referencesCavill, R., Keun, H., Holmes, E., Lindon, J., Nicholson, K. & Ebbels, T. (2009). Genetic algorithms for simultaneous variable and sample selection in metabonomics.Bioinformatics.25(1).112-118.spa
dc.relation.referencesDang, T., Frolov, S., Bulusu, N., Feng, W. & Baptista, (2007). A Near Optimal Sensor Selection in The Columbia RIvEr (CORIE) Observation Network for Data Assimilation Using Genetic Algorithms.spa
dc.relation.referencesDistributed Computing in Sensor Systems Lecture Notes in Computer Science.45(49). 253-266. Fiszelew, A. & García- Martínez, R. (2002). Generación automática de redes neuronales con ajuste de parámetros basado en algoritmos genéticos. Revista del Instituto Tecnológico de Buenos Aires. 26, 76-101.spa
dc.relation.referencesGarey, M.R. & Johnson, D.S., (1979). Computers and Intractability, W. H. Freeman and Co., San Francisco. EstadosUnidos.spa
dc.relation.referencesGoldberg, D.E., (1989). Genetic Algorithms in Search Optimization and Machine Learning, Addison-Wesley.spa
dc.relation.referencesGiraldo, L. F., Delgado, E., & Castellanos, G. (2006) Cinemática Inversa de un Brazo Robot Utilizando Algoritmos Genéticos. Avances en Sistemas e Informática, 3(1), 29-34.spa
dc.relation.referencesGoodwine B. (2005). Inverse Kinematics. En: KURFESS T.R., Robotics and automation handbook. New York: CRC Press. Capítulo 3.spa
dc.relation.referencesGonçalves, J. F, de Magalhães, J. J. & Resende, M. G. (2002).A Hybrid Genetic Algorithm for the Job Shop Scheduling Problem. AT&T Labs Research Technical Report TD-5EAL6J.spa
dc.relation.referencesGordillo, J., Merchán, E., Lugo, E. & Rivera, B. (2009) Generación de Trayectorias para Manipulador Robótico de Revolución. Revista de Ingeniería Electrónica, Automática y Comunicaciones, 30(3). 21-32.spa
dc.relation.referencesGould, B. E., Berger, A., Molinaro, A., Subtil, A., Krauthammer, O., Camp, R., Bradley, W., Ariyan, S.,spa
dc.relation.referencesKluger, H. & Rimm, D. (2009). Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms. Journal of Clinical Oncology.27(34). 5772-5780.spa
dc.relation.referencesHaupt, S. E., Young, G. & Allen, C. (2007). A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release. Journal Of Computers, 2-6.spa
dc.relation.referencesHeinen, M. R. & Santos, F. (2006). Uso de Algoritmos Genéticos para a Configuração Automática do Caminharem Robôs Móveis. Anais do XXVI Congresso da SBC. 14 a 20 de julio. Campo Grande, MS. Brasil. 282-291.spa
dc.relation.referencesHolland, J. H. (1975). Adaptation in Natural and Artificial Systems. Michigan, Estados Unidos: Ann Harbor: University of Michigan Press.spa
dc.relation.referencesJorgensen RM (2002). Tesis de Doctorado, Center for Traffic and Transportation, Technical University of Denmark, Dinamarca.spa
dc.relation.referencesJorgensen, R. M. & Bergvinsdottir, K. B. (2007).Solving the Dial-a-Ride problem using Genetic Algorithms. Journal of the Operational Research Society,58.1321 –1331.spa
dc.relation.referencesKala, R., Shukla, A., Tiwari, R., Rungta, S. & Janghel R. (2009). Mobile Robot Navigation Control in Moving Obstacle Environment usingGenetic Algorithm, Artificial Neural Networks and A* Algorithm. Proceedings of IEEE 2009 World Congress on Computer Science and Information Engineering.705-713.spa
dc.relation.referencesKhwaja A. A; Rahman M.O & Wagner M. G. (1998) En: Lenarčič, J & Husty, L. M, editors. Advance in robotics kinematics: analysis and control. 375-382. Kluwer Academic Publishers.spa
dc.relation.referencesLong, K., Haupt, S. E., Young, G. S., Rodríguez, L. M. & McnealIII, M. (2009).Proceedings of 7th Conference on Artificial Intelligence and its Applications to the Environmental Sciences, January.spa
dc.relation.referencesMarcos M. G; Machado J.A & Azevedo-Perdicoúlis T.P. (2009) Trajectory planning of redundant manipulators using genetic algorithms. In: Luo A.C, Ruffo S, Zheng W.M, editors. Commun Nonlinear SciNumerSimulat. 2858-2869.spa
dc.relation.referencesMartínez, M. Sanchis, J. & Blasco, X. (2006). Algoritmos genéticos aplicados al diseño de controladores robustos. Revista Iberoamericana de Automática e Informática Industrial.3(1).39-51.spa
dc.relation.referencesMucientes, M., Moreno, D.L., Bugarín, A. & Barro, S. (2007) Design of a fuzzy controller in mobile robotics using genetic algorithms. Applied Soft Computing 7.540-546.spa
dc.relation.referencesMurata, T. (1989) Petri Nets: Properties, Analysis and Applications. En: Proceedings of the IEEE, 77(4). 541-580.spa
dc.relation.referencesNaso, D., Surico, M.,Turchiano, B. & Kaymak, U. (2007). Genetic algorithms for supply-chain scheduling: a case study in the distribution of ready-mixed concrete. European Journal of Operational Research.177(3), 2069-2099.spa
dc.relation.referencesPage, A. & Naughton, T. (2005). Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms. Artificial Intelligence Review 24. 415–429. Springer.spa
dc.relation.referencesPark, W., Park, K., Ha, D. & Choo, J.F.(2009) Preference Based Genetic Algorithm for the Optimum Design of Integrated Structural Control System .INC, IMS and IDC, 2009. NCM ‘09. Fifth International Joint Conference. Agosto, 389 – 392. Seúl, Korea.spa
dc.relation.referencesParker, J. K. & Goldberg, D. E. (1989). Inverse Kinematics of Redundant Robots Using Genetic Algorithms. Robotics a nd Automation, Proceedings, IEEE International Conference, 271-276.spa
dc.relation.referencesPérez, M. E., & Herrera, F. (2009) Algoritmos genéticos multimodales: Un estudio sobre la parametrización del método clearing aplicado al problema “job shop”.Reporte de investigación, Universidad de Valladolid, TIN200508386C0501. Julio.spa
dc.relation.referencesPetrowski, A. (1997) A new selection operator dedicated to speciatin. En: Proceedings of the 7th International Conference on Genetic Algorithms. Ed: Bäck, T. San Mateo. Estados Unidos. 144-151.spa
dc.relation.referencesPicado, H., Gestal, M., Lau, N., Reis, L. P., Tomé, A. (2009). Automatic Generation of Biped Walk Behavior Using Genetic Algorithms En: Cabestany, J., Sandoval, F., Prieto, A. & Corchando, J. (2009).Proceedings of 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, June 10-12, 2009. Salamanca, España.spa
dc.relation.referencesSastry, K., Goldberg, D. & Kendall, G. (2005). Genetic Algorithms. En: Burke, E. &Kendall G. Search Methodologies, Introductory Tutorials in Optimization and Decision Support Techniques. 97-125. Springer US.spa
dc.relation.referencesShah, S & Kusiak, Andrew. (2007) .Computers in Biology and Medicine37. 251 – 261. Editorial Elsevier.spa
dc.relation.referencesSivanandam, S. N. & Deepa, S. N. (2008). Introduction to Genetic Algorithms, Springer-Verlag. Berlin Heidelberg.spa
dc.relation.referencesStockwell, D., Beach, J. H., Stewart, A., Vorontsov,G., Vieglais,, D. & Scachetti, R. (2008). The use of the GARP genetic algorithm and internet GRID computing in the Lifemapper world atlas of species biodiversity. Ecological Modeling, 195, 1(2), 139-145.spa
dc.relation.referencesStockwell, D.R.B. & Peterson A.T. ( 2002). Effects of sample size on accuracy of species distribution models. Ecological Modelling 148, 1-13.spa
dc.relation.referencesTabandel, S.; Clark, C. & Melek, W. (2006) A Genetic Algorithm Approach to solve for Multiple Solutions of Inverse Kinematics using Adaptive Niching and Clustering. En: IEEE Congress on Evolutionary Computation. Vancouver, Canadá. 1815 – 1822.spa
dc.relation.referencesUribe, C. C., Irlanda, A. & Niño, L. (2008). Un enfoque basado en Algoritmos genéticos para la optimización de la cantidad de conmutadores en una Red de Reconfiguración de un Satélite. En: III Congreso Colombiano de Computación. Medellín, Colombia. Abril.spa
dc.relation.referencesValencia, P. E. (1997). Optimización Mediante Algoritmos Genéticos. Anales del Instituto de Ingenieros de Chile. 83-92.spa
dc.relation.referencesVélez, M. C. & Montoya, J. A. (2007). Metaheurísticos: una alternativa para la solución de problemas combinatorios en administración de operaciones. Revista EIA, 8, 99-115.spa
dc.relation.referencesVillalobos, J. P. C. &Mejía, G. (2010). Redes de Petri y Algoritmos Genéticos, una propuesta para la programación de sistemas de manufactura flexible. Ingeniería y Universidad, 2010. 10(1). 55-75.spa
dc.relation.referencesVoß, S. &Woodruff, D. L. (2006).Introduction to computational optimization models for production planning in a supply chain. Segunda Edición. Springer Verlag. Berlín.spa
dc.relation.referencesVeslin E. Y., Slama, J., Dutra M. & LacheI. , (2009), Cinemática Inversa de un Exoesqueleto de Partes Superiores de 7 GDL aplicando Métodos Numéricos y Algoritmos Genéticos, Proccedings of V Seminario Internacional de Ingeniería Biomédica. Bogotá.spa
dc.relation.referencesVeslin, E. Y. (2010) Implementação dos sistemas diferencialmente planos para o controle de um manipulador robótico tipo braço humano. Tesis de Maestria, Universidade Federal do Rio de Janeiro, Brasil.spa
dc.relation.referencesZacharia, P. & Aspragathos, N. A. (2005). Optimal robot task scheduling based on genetic algorithms. Robotics and Computer-Integrated Manufacturing 21, 67–79.spa
dc.relation.referencesZiyu, T. & Wovo, D. (2011) A genetic algorithm approach to planning of buildings in urban green space. Electric Technology and Civil Engineering (ICETCE), 2011 International Conference. Abril, 2856 – 2859.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.title.translatedAplicación de algoritmos genéticos en problemas de Ingenieríaeng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTREFspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


Ficheros en el ítem

FicherosTamañoFormatoVer
I tres mas-17.pdf940.3Kbapplication/pdfVer/

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

https://creativecommons.org/licenses/by-nc-sa/4.0/
Excepto si se señala otra cosa, la licencia del ítem se describe como https://creativecommons.org/licenses/by-nc-sa/4.0/