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Evolutionary algorithm in the problem of SO2 emission reduction

dc.contributor.authorStańczak, Jarosław
dc.contributor.authorHolnicki, Piotr
dc.contributor.authorKaluszko, Andrzej
dc.contributor.editorWenkel, K.-O.
dc.contributor.editorWagner, P.
dc.contributor.editorMorgenstern, M.
dc.contributor.editorLuzi, K.
dc.contributor.editorEisermann, P.
dc.date.accessioned2019-08-26T09:35:04Z
dc.date.available2019-08-26T09:35:04Z
dc.date.issued2006
dc.description.abstractThis work deals with the regional-scale strategy for air pollution abatement. The pivotal role in the presented approach plays the problem of optimal allocation of financial means for the long-term reduction of SO2 concentration in a given region. This problem is formally stated as a costconstrained minimization of the environmental damage function during the accepted time horizon. The optimal distribution of financial means for desulfurization technologies within the predefined set of controlled pollution sources is a difficult computational problem, thus a specialized evolutionary algorithm has been prepared to solve it. The proposed evolutionary method is equipped with a specialized encoding of solutions with properly designed genetic operators and a quite complicated method of fitness function computation considering imposed financial constraints. The test computations have been performed for the major power plants in Silesia Region (Poland).en
dc.identifier.isbn3-88579-172-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24740
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofLand- und Ernährungswirtschaft im Wandel – Aufgaben und Herausforderungen für die Agrar und Umweltinformatik
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-78
dc.titleEvolutionary algorithm in the problem of SO2 emission reductionen
dc.typeText/Conference Paper
gi.citation.endPage284
gi.citation.publisherPlaceBonn
gi.citation.startPage281
gi.conference.date06.-08. März 2006
gi.conference.locationPotsdam
gi.conference.sessiontitleRegular Research Papers

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