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Semi-Deterministic Recursive Optimization Methods for Multichannel Optical Filters

dc.book.titleNumerical Mathematics and Advanced Applications
dc.contributor.authorIvorra, Benjamín Pierre Paul
dc.contributor.authorMohammadi, Bijan
dc.contributor.authorDumas, Laurent
dc.contributor.authorDurand, Olivier
dc.contributor.editorBermúdez de Castro, Alfredo
dc.contributor.editorGómez, Dolores
dc.contributor.editorQuintela, Peregrina
dc.contributor.editorSalgado, Pilar
dc.date.accessioned2023-06-20T13:41:47Z
dc.date.available2023-06-20T13:41:47Z
dc.date.issued2006
dc.descriptionProceedings of ENUMATH 2005, the 6th European Conference on Numerical Mathematics and Advanced Applications Santiago de Compostela, Spain, July 2005
dc.description.abstractIn this paper, we reformulate global optimization problems in terms of boundary value problems. This allows us to introduce a new class of optimization algorithms. Indeed, many optimization methods, including non-deterministic ones, can be seen as discretizations of initial value problems for differential equations or systems of differential equations. Two algorithms included in this new class are applied and compared with a genetic algorithm for the design of multichannel optical filters.
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/29627
dc.identifier.doi10.1007/978-3-540-34288-5_100/
dc.identifier.isbn978-3-540-34287-8
dc.identifier.officialurlhttp://link.springer.com/chapter/10.1007%2F978-3-540-34288-5_100
dc.identifier.relatedurlhttp://link.springer.com
dc.identifier.urihttps://hdl.handle.net/20.500.14352/53418
dc.language.isoeng
dc.page.final1014
dc.page.initial1007
dc.page.total1232
dc.publication.placeBerlín
dc.publisherSpringer
dc.rights.accessRightsrestricted access
dc.subject.cdu517.9
dc.subject.cdu519.8
dc.subject.ucmEcuaciones diferenciales
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.unesco1202.07 Ecuaciones en Diferencias
dc.subject.unesco1207 Investigación Operativa
dc.titleSemi-Deterministic Recursive Optimization Methods for Multichannel Optical Filters
dc.typebook part
dcterms.references1. Goldberg, D.: Genetic algorithms in search, optimization and machine learning. Addison Wesley (1989) 2. Dumas, L., Herbert, V., Muyl, F.: Hybrid method for aerodynamic shape optimization in automotive industry. Computers and Fluids. 33(5), 849-858 (2004) 3. Mohammadi, B., Saiac, J-H.: Pratique de la simulation numérique. Dunod (2002) 4. Attouch, H., Cominetti, R.: A dynamical approach to convex minimization coupling approximation with the steepest descent method. Journal of Differential Equations. 128(2), 519-540 (1996) 5. Ivorra, B., Mohammadi, B., Santiago, J-G., Hertzog, D-E.: Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices. International Journal of Numerical Methods in Engineering. 66(2), 319-333 (2006) 6. Mohammadi, B., Pironneau, O.: Applied Shape Optimization for Fluids. Oxford University Press (2001) 7. Ivorra, B., Mohammadi, B., Redont, P., Dumas, L.: Semi-deterministic vs genetic algorithms for global optimization of multichannel Optical Filters. International Journal of Computational Science and Engineering. To be published. (2006) 8. Chow, J., Town, G., Eggleton, B., Ibsen, M., Sugden, K., Bennion, I.: Multiwavelength Generation in an Erbium-Doped Fiber Laser Using In-Fiber Com Filters. IEEE Photonic Technology Letter. 8(1), 60-62 (1996) 9. Erdogan, T.: Fiber Grating Spectra. Journal of Lightwave Technology. 15(8), 1277-1294 (1997) 10. Debiane, L., Ivorra, B., Mohammadi, B., Nicoud, F., Ern, A., Poinsot, T., Pitsch, H.: Temperature and pollution control in flames. Proceeding of the CTR Summer Program 2004. 367-375 (2004)
dspace.entity.typePublication
relation.isAuthorOfPublication6d5e1204-9b8a-40f4-b149-02d32e0bbed2
relation.isAuthorOfPublication.latestForDiscovery6d5e1204-9b8a-40f4-b149-02d32e0bbed2

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