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TitleUsing a genetic algorithm to solve a bi-objective WWTP process optimization
Author(s)Costa, L.
Espírito Santo, I. A. C. P.
Fernandes, Edite Manuela da G. P.
Denysiuk, Roman
Issue date2011
PublisherSpringer Verlag
JournalOperations Research Proceedings
Abstract(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.
TypeConference paper
Publisher version
AccessOpen access
Appears in Collections:LES/ALG - Capítulos de livros

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