Multilocal programming and applications

doi:10.1007/978-3-642-30504-7_7

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/27237

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Campo DC	Valor	Idioma
dc.contributor.author	Pereira, A. I.	-
dc.contributor.author	Ferreira, O.	-
dc.contributor.author	Pinho, S. P.	-
dc.contributor.author	Fernandes, Edite Manuela da G. P.	-
dc.date.accessioned	2013-12-19T15:08:26Z	-
dc.date.available	2013-12-19T15:08:26Z	-
dc.date.issued	2013	-
dc.identifier.isbn	978-3-642-30503-0	-
dc.identifier.isbn	978-3-642-30504-7	-
dc.identifier.issn	1868-4394	-
dc.identifier.uri	https://hdl.handle.net/1822/27237	-
dc.description	Preprint version	por
dc.description.abstract	Multilocal programming aims to identify all local minimizers of unconstrained or constrained nonlinear optimization problems. The multilocal programming theory relies on global optimization strategies combined with simple ideas that are inspired in deflection or stretching techniques to avoid convergence to the already detected local minimizers. The most used methods to solve this type of problems are based on stochastic procedures and a population of solutions. In general, population-based methods are computationally expensive but rather reliable in identifying all local solutions. In this chapter, a review on recent techniques for multilocal programming is presented. Some real-world multilocal programming problems based on chemical engineering process design applications are described.	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	Multilocal programming	por
dc.subject	Stochastic method	por
dc.subject	Deterministic method	por
dc.subject	Penalty techniques	por
dc.subject	Engineering process design	por
dc.title	Multilocal programming and applications	por
dc.type	bookPart	por
dc.peerreviewed	yes	por
dc.relation.publisherversion	http://link.springer.com	por
sdum.publicationstatus	published	por
oaire.citationStartPage	157	por
oaire.citationEndPage	186	por
oaire.citationTitle	Handbook of Optimization - From Classical to Modern Approach	por
oaire.citationVolume	Intelligent Systems Reference Library vol 38	por
dc.identifier.doi	10.1007/978-3-642-30504-7_7	-
sdum.journal	Intelligent Systems Reference Library	por
sdum.bookTitle	Handbook of Optimization - From Classical to Modern Approach	por
Aparece nas coleções:	CAlg - Livros e capítulos de livros/Books and book chapters

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