Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

Optimizing initial guesses to improve global minimization

Simple item page
dc.contributor.authorIvorra, Benjamín Pierre Paul
dc.contributor.authorMohammadi, Bijan
dc.contributor.authorRamos Del Olmo, Ángel Manuel
dc.date.accessioned2023-06-20T16:38:05Z
dc.date.available2023-06-20T16:38:05Z
dc.date.issued2008
dc.description.abstractIn this paper, we envision global optimization as finding, for a given calculation complexity, a suitable initial guess of a considered optimization algorithm. One can imagine that this possibility clearly improve the capacity of existing optimization algorithms, including stochastic ones. This approach is validated on several large dimension nonlinear minimization problems. Results are compared with those obtained by a geneti algorithm
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedFALSE
dc.description.sponsorshipInstitut de Mathématiques et de Modélisation de Montpellier
dc.description.sponsorshipMinisterio de Educación y Ciencia (España)
dc.description.sponsorshipDirección General de Universidades e Investigación (Comunidad de Madrid)
dc.description.sponsorshipUniversidad Complutense
dc.description.statussubmitted
dc.eprint.idhttps://eprints.ucm.es/id/eprint/29285
dc.identifier.officialurlhttp://www.researchgate.net/publication/254839962_Optimizing_Initial_Guesses_to_Improve_Global_Minimization
dc.identifier.relatedurlhttp://www.mat.ucm.es/deptos/ma
dc.identifier.urihttps://hdl.handle.net/20.500.14352/56490
dc.issue.number6
dc.journal.titlePrepublicaciones del Departamento de Matemática Aplicada
dc.language.isoeng
dc.page.final17
dc.page.initial1
dc.publisherDepartamento de Matemática Aplicada, Universidad Complutense
dc.relation.projectIDMTM2007-64540
dc.relation.projectIDIngenio Matematica (i-MATH) No. CSD2006-00032 (Consolider-Ingenio 2010)
dc.relation.projectIDCCG07- UCM/ESP-2787
dc.rights.accessRightsopen access
dc.subject.cdu519.863
dc.subject.cdu004.421:575.8
dc.subject.keywordGlobal optimization
dc.subject.keywordDynamical Systems
dc.subject.keywordSemi-Deterministic Algorithms
dc.subject.keywordGenetic Algorithms.
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.unesco1207 Investigación Operativa
dc.titleOptimizing initial guesses to improve global minimization
dc.typetechnical report
dcterms.references[1] B. Mohammadi and J-H. Saiac. Pratique de la simulation numérique. Dunod, 2002. [2] H. Attouch and R. Cominetti. A dynamical approach to convex minimization coupling approximation with the steepest descent method. Journal of Differential Equations, 128(2):519–540, 1996. [3] D. Goldberg. Genetic algorithms in search, optimization and machine learning. Addison Wesley, 1989. [4] M. Ericsson, , M.G.C. Resende, and P.M. Pardalos. A genetic algorithm for the weight setting problem in ospf routing. J. Comb. Optim., 6(3):299–333, 2002. 5] C. M. Fonseca and J. Fleming. An overview of evolutionary algorithms in multi-objective optimization. Evolutionary Computation, 3(1):1–16, 1995. [6] L. Dumas, V. Herbert, and F. Muyl. Hybrid method for aerodynamic shape optimization in automotive industry. Computers and Fluids, 33(5):849–858, 2004. [7] B. Ivorra, A.M. Ramos, and B. Mohammadi. Semideterministic global optimization method: Application to a control problem of the burgers equation. Journal of Optimization Theory and Applications, 135(3):549–561, 2007, DOI: 10.1007/s10957-007-9251-8. [8] B. Ivorra, B. Mohammadi, and A.M. Ramos. Optimization strategies in credit portfolio management. Journal Of Global Optimization, Accepted, in Early view, to be published, DOI: 10.1007/s10898-007-9221-6. [9] B. Ivorra, B. Mohammadi, D.E. Santiago, and J.G. Hertzog. Semideterministic and genetic algorithms for global optimization of microfluidic protein folding devices. International Journal of Numerical Method in Engineering, 66(2):319–333, 2006, DOI: 10.1002/nme.1562. [10] B. Ivorra, B. Mohammadi, L. Dumas, O. Durand, and P. Redont. Semideterministic vs. genetic algorithms for global optimization of multichannel optical filters. International Journal of Computational Science for Engineering, 2(3):170–178, 2006, DOI: 10.1504/IJCSE.2006.012769. [11] B. Mohammadi and O. Pironneau. Applied Shape Optimization for Fluids. Oxford University Press, 2001. [12] H. Attouch, X. Goudou, and P. Redont. The heavy ball with friction method. i: The continuous dynamical system: Global exploration of the local minima of a real-valued function by asymptotic analysis of a dissipative dynamical system. Commun. Contemp. Math., 2(1):1–34, 2000. [13] Verhulst F. Nonlinear differential equations and dynamical systems. Springer-Verlag., 1990. [14] B. Ivorra. Semi-deterministic global optimization. PhD. University of Montpellier 2, 2006. [15] C.A. Floudas, P.M. Pardalos, C.S. Adjiman, W.R. Esposito, Z. Gumus, S.T. Harding, J.L. Klepeis, C.A. Meyer, and C.A. Schweiger. Handbook of test problems in local and global optimization. Kluwer Academic Publishers, 2000. [16] L. Debiane, B. Ivorra, B. Mohammadi, F. Nicoud, A. Ern, T. Poinsot, and H. Pitsch. A low-complexity global optimization algorithm for temperature and pollution control in flames with complex chemistry. International Journal of Computational Fluid Dynamics, 20(2):93–98, 2006, DOI: 10.1080/10618560600771758. [17] D. Isebe, F. Bouchette, P. Azerad, B. Ivorra, and B. Mohammadi. Optimal shape design of coastal structures. International Journal of Numerical Method in Engineering, Accepted, in Early view, to be published, DOI: 10.1002/nme.2209
dspace.entity.typePublication
relation.isAuthorOfPublication6d5e1204-9b8a-40f4-b149-02d32e0bbed2
relation.isAuthorOfPublication581c3cdf-f1ce-41e0-ac1e-c32b110407b1
relation.isAuthorOfPublication.latestForDiscovery6d5e1204-9b8a-40f4-b149-02d32e0bbed2

Download

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ivorra29.pdf
Size:
269.6 KB
Format:
Adobe Portable Document Format
downoload Download

Collections

Documentos de trabajo e informes técnicos