Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/17158

TitleHybrid genetic pattern search augmented Lagrangian algorithm : application to WWTP optimization
Author(s)Espírito Santo, I. A. C. P.
Costa, L.
Denysiuk, Roman
Fernandes, Edite Manuela da G. P.
Issue date2010
PublisherAbo Akademi University
Abstract(s)An augmented Lagrangian algorithm is presented to solve a global optimization problem that arises when modeling the activated sludge system in a Wastewater Treatment Plant, attempting to minimize both investment and operation costs. It is a heuristic-based algorithm that uses a genetic algorithm to explore the search space for a global optimum and a pattern search method for the local search refinement. The obtained results have physical meaning and show the effectiveness of the proposed method.
TypeConference paper
URIhttp://hdl.handle.net/1822/17158
ISBN978-952-12-2414-0
ISSN2008-0050
Publisher versionhttp://www.tadbir.ca/icaor/icaor10_contents.pdf
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LES/ALG - Capítulos de livros

Files in This Item:
File Description SizeFormat 
ICAOR2010final.pdf311,78 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID