Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/15377
Título: | Using a genetic algorithm to solve a bi-objective WWTP process optimization |
Autor(es): | Costa, L. Espírito Santo, I. A. C. P. Fernandes, Edite Manuela da G. P. Denysiuk, Roman |
Data: | 2011 |
Editora: | Springer Verlag |
Revista: | Operations Research Proceedings |
Resumo(s): | When modeling an activated sludge system of a wastewater treatment plant (WWTP), several conflicting objectives may arise. The proposed formulation is a highly constrained bi-objective problem where the minimization of the investment and operation costs and the maximization of the quality of the effluent are simultaneously optimized. These two conflicting objectives give rise to a set of Pareto optimal solutions, reflecting different compromises between the objectives. Population based algorithms are particularly suitable to tackle multi-objective problems since they can, in principle, find multiple widely different approximations to the Pareto-optimal solutions in a single run. In this work, the formulated problem is solved through an elitist multi-objective genetic algorithm coupled with a constrained tournament technique. Several trade-offs between objectives are obtained through the optimization process. The direct visualization of the trade-offs through a Pareto curve assists the decision maker in the selection of crucial design and operation variables. The experimental results are promising, with physical meaning and highlight the advantages of using a multi-objective approach. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/15377 |
ISBN: | 978-3-642-20008-3 |
DOI: | 10.1007/978-3-642-20009-0_57 |
ISSN: | 0721-5924 |
Versão da editora: | http://dx.doi.org/10.1007/978-3-642-20009-0_57 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | LES/ALG - Capítulos de livros |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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paper_id824n.pdf | 122,02 kB | Adobe PDF | Ver/Abrir |