Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50105
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Espírito Santo, I. A. C. P. | por |
dc.contributor.author | Costa, Lino | por |
dc.contributor.author | Rocha, Ana Maria A. C. | por |
dc.contributor.author | Azad, Md. Abul Kalam | por |
dc.contributor.author | Fernandes, Edite Manuela da G. P. | por |
dc.date.accessioned | 2018-02-06T15:24:42Z | - |
dc.date.available | 2018-02-06T15:24:42Z | - |
dc.date.issued | 2013-10-18 | - |
dc.identifier.citation | Santo, I. A. E., Costa, L., Rocha, A. M. A., Azad, M. A. K., & Fernandes, E. M. (2013). On challenging techniques for constrained global optimization. In Handbook of Optimization (pp. 641-671). Springer, Berlin, Heidelberg | por |
dc.identifier.isbn | 978-3-642-30503-0 | - |
dc.identifier.issn | 1868-4394 | por |
dc.identifier.uri | https://hdl.handle.net/1822/50105 | - |
dc.description.abstract | This chapter aims to address the challenging and demanding issue of solving a continuous nonlinear constrained global optimization problem. We propose four stochastic methods that rely on a population of points to diversify the search for a global solution: genetic algorithm, differential evolution, artificial fish swarm algorithm and electromagnetism-like mechanism. The performance of different variants of these algorithms is analyzed using a benchmark set of problems. Three different strategies to handle the equality and inequality constraints of the problem are addressed. An augmented Lagrangian-based technique, the tournament selection based on feasibility and dominance rules, and a strategy based on ranking objective and constraint violation are presented and tested. Numerical experiments are reported showing the effectiveness of our suggestions. Two well-known engineering design problems are successfully solved by the proposed methods. © Springer-Verlag Berlin Heidelberg 2013. | por |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia (Foundation for Science and Technology), Portugal for the financial support under fellowship grant: C2007-UMINHO-ALGORITMI-04. The other authors acknowledge FEDER COMPETE, Programa Operacional Fatores de Competitividade (Operational Programme Thematic Factors of Competitiveness) and FCT for the financial support under project grant: FCOMP-01-0124-FEDER-022674 | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | por |
dc.rights | openAccess | por |
dc.title | On Challenging Techniques for Constrained Global Optimization | por |
dc.type | bookPart | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-642-30504-7_26 | por |
oaire.citationStartPage | 641 | por |
oaire.citationEndPage | 671 | por |
oaire.citationVolume | 38 | por |
dc.date.updated | 2018-01-13T23:53:02Z | - |
dc.identifier.doi | 10.1007/978-3-642-30504-7_26 | por |
dc.identifier.eisbn | 978-3-642-30504-7 | - |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
sdum.export.identifier | 2368 | - |
sdum.journal | Intelligent Systems Reference Library | por |
sdum.bookTitle | Handbook of Optimization. Intelligent Systems Reference Library | por |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
HO_iacpesanto_final.pdf | 331,65 kB | Adobe PDF | Ver/Abrir |