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Selection of optimal land uses for the reclamation of surface mines by using evolutionary algorithms

Palogos Ioannis, Galetakis Michalis, Roumpos, Christos 1978-, Pavloudakis Francis F.

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URIhttp://purl.tuc.gr/dl/dias/477BC08F-FAB2-4400-8363-B7A90DEA6B59-
Identifierhttps://www.sciencedirect.com/science/article/pii/S2095268617302318?via%3Dihub-
Identifierhttps://doi.org/10.1016/j.ijmst.2017.03.008-
Languageen-
Extent8 pagesen
TitleSelection of optimal land uses for the reclamation of surface mines by using evolutionary algorithmsen
CreatorPalogos Ioannisen
CreatorΠαλογος Ιωαννηςel
CreatorGaletakis Michalisen
CreatorΓαλετακης Μιχαληςel
CreatorRoumpos, Christos 1978-en
CreatorPavloudakis Francis F.en
PublisherChina University of Mining and Technologyen
Content SummaryA methodology for the selection of the optimal land uses of the reclamation of mined areas is proposed. It takes into consideration several multi-nature criteria and constraints, including spatial constrains related to the permissible land uses in certain parts of the mined area. The methodology combines desirability functions and evolution searching algorithms for selection of the optimal reclamation scheme. Its application for the reclamation planning of the Amynteon lignite surface mine in Greece indicated that it handles effectively spatial and non-spatial constraints and incorporates easily the decision-makers preferences regarding the reclamation strategy in the optimization procedure.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-05-14-
Date of Publication2017-
SubjectDesirability functionsen
SubjectEvolutionary algorithmsen
SubjectLand usesen
SubjectOptimizationen
SubjectReclamationen
Bibliographic CitationI. Palogos, M. Galetakis, C. Roumpos and F. Pavloudakis, "Selection of optimal land uses for the reclamation of surface mines by using evolutionary algorithms," Int. J. Min. Sci. Technol., vol. 27, no. 3, pp. 491-498, May 2017. doi: 10.1016/j.ijmst.2017.03.008en

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