Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

Land- und Ernährungswirtschaft im Wandel -Aufgaben und Herausforderungen für die Agrar und Umweltinformatik, Referate der 26. GIL Jahrestagung, 06.-08. März 2006, Potsdam P-78, 281-284 (2006).



K. -O. Wenkel, P. Wagner, M. Morgenstern, K. Luzi, P. Eisermann (eds.)


Evolutionary algorithm in the problem of SO\_2 emission reduction

J. Stańczak , P. Holnicki and A. Kaluszko


This 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).

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ISBN 3-88579-172-2

Last changed 24.01.2012 21:53:14