A multi-objective approach to solve an optimal control problem applied to a simplified activated sludge system model

doi:10.3233/FAIA190229

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/69917

Registo completo

Campo DC	Valor	Idioma
dc.contributor.author	Espírito Santo, Isabel	por
dc.contributor.author	Costa, Lino	por
dc.contributor.author	Monteiro, M. Teresa T.	por
dc.date.accessioned	2021-01-29T12:36:51Z	-
dc.date.issued	2019	-
dc.identifier.isbn	978-1-64368-018-7	-
dc.identifier.issn	0922-6389	-
dc.identifier.uri	https://hdl.handle.net/1822/69917	-
dc.description.abstract	In this work a model representing the 24 hours operation of an activated sludge system from a wastewater treatment plant is presented. An optimal control problem is formulated in order to minimize the dissolved oxygen (control variable) and the quality index (amount of pollution). This problem is treated using direct methods, leading to a multi-objective nonlinear problem, solved using a weighted sum multi-objective approach. It was coded in the AMPL programming language and numerical experiments were carried out using the NLP solver from the NEOS Server platform.	por
dc.description.sponsorship	- This research has been supported by FCT - Fundacao para a Ciencia e Tecnologia within the project scope UID/CEC/00319/2019, through ALGORITMI R&D Center.	por
dc.language.iso	eng	por
dc.publisher	IOS Press	por
dc.relation	UID/CEC/00319/2019	por
dc.rights	closedAccess	por
dc.subject	Multi-objective optimization	por
dc.subject	Optimal control	por
dc.subject	Wastewater treatment plant	por
dc.subject	Optimization	por
dc.title	A multi-objective approach to solve an optimal control problem applied to a simplified activated sludge system model	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
dc.relation.publisherversion	http://ebooks.iospress.nl/volumearticle/53040	por
oaire.citationStartPage	613	por
oaire.citationEndPage	618	por
oaire.citationVolume	320	por
dc.date.updated	2021-01-27T18:51:35Z	-
dc.identifier.doi	10.3233/FAIA190229	por
dc.date.embargo	10000-01-01	-
dc.identifier.eisbn	978-1-64368-019-4	-
dc.subject.wos	Science & Technology	-
sdum.export.identifier	5709	-
sdum.journal	Frontiers in Artificial Intelligence and Applications	por
sdum.conferencePublication	Fuzzy Systems and Data Mining V (FSDM 2019)	por
sdum.bookTitle	Fuzzy Systems and Data Mining V	por
Aparece nas coleções:	CAlg - Artigos em livros de atas/Papers in proceedings