Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/27232
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Azad, Md. Abul Kalam | - |
dc.contributor.author | Fernandes, Edite Manuela da G. P. | - |
dc.date.accessioned | 2013-12-19T14:50:11Z | - |
dc.date.available | 2013-12-19T14:50:11Z | - |
dc.date.issued | 2013 | - |
dc.identifier.isbn | 78-3-642-35637-7 | - |
dc.identifier.isbn | 978-3-642-35638-4 | - |
dc.identifier.issn | 1860-949X | - |
dc.identifier.uri | https://hdl.handle.net/1822/27232 | - |
dc.description.abstract | Nonlinear optimization problems introduce the possibility of multiple local optima. The task of global optimization is to find a point where the objective function obtains its most extreme value while satisfying the constraints. Some methods try to make the solution feasible by using penalty function methods, but the performance is not always satisfactory since the selection of the penalty parameters for the problem at hand is not a straightforward issue. Differential evolution has shown to be very efficient when solving global optimization problems with simple bounds. In this paper, we propose a modified constrained differential evolution based on different constraints handling techniques, namely, feasibility and dominance rules, stochastic ranking and global competitive ranking and compare their performances on a benchmark set of problems. A comparison with other solution methods available in literature is also provided. The convergence behavior of the algorithm to handle discrete and integer variables is analyzed using four well-known mixed-integer engineering design problems. It is shown that our method is rather effective when solving nonlinear optimization problems. | por |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia (FCT) | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | por |
dc.rights | openAccess | por |
dc.subject | Nonlinear programming | por |
dc.subject | Global optimization | por |
dc.subject | Constraints handling | por |
dc.subject | Differential evolution | por |
dc.title | Modified constrained differential evolution for solving nonlinear global optimization problems | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007/978-3-642-35638-4_7 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 85 | por |
oaire.citationEndPage | 100 | por |
oaire.citationTitle | Computational Intelligence (Series: Studies in Computational Intelligence) | por |
oaire.citationVolume | 465 | por |
dc.identifier.doi | 10.1007/978-3-642-35638-4_7 | - |
dc.subject.wos | Science & Technology | por |
sdum.journal | Studies in Computational Intelligence | por |
sdum.conferencePublication | COMPUTATIONAL INTELLIGENCE | por |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
LNCS_IJCCI_Azad.pdf | 181,98 kB | Adobe PDF | Ver/Abrir |