GENETIC PROGRAMMING FOR BRICK'S CHEMICAL ANALYSIS MODELLING

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dc.contributor.authorH., Marouf1*,
dc.contributor.authorA., . Semcha2,
dc.contributor.authorN, Mahmoudi3,
dc.contributor.author, Bouhamou1 N.
dc.date.accessioned2023-04-10T09:16:04Z
dc.date.available2023-04-10T09:16:04Z
dc.date.issued2018-05-01
dc.descriptionarticalen_US
dc.description.abstractThis study is part of the search for a sediment management methodology and the basic material that is designed for the manufacture of fired brick, in which we tackle the problem of choosing the mud samples from dredging the Algerian dams in particular (Bouhanifia dam western Algeria) and the choice of clay that comes from different deposits. We propose an approach for sampling using a computer optimization model that allows solving and optimizing a characterization to retain the best adapted sample (chemically) usingen_US
dc.identifier.citationH. Marouf1*, A. Semcha2, N. Mahmoudi3, N. Bouhamou. . GENETIC PROGRAMMING FOR BRICK'S CHEMICAL ANALYSIS MODELLING. Journal of Fundamental and sciences. vol.10, no 2. May 2018. Faculty of exact sciences. university of el oued. [visited in 18/12/2017]. available from [http://www.jfas.info]en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/18901
dc.language.isoenen_US
dc.publisherجامعة الوادي university of eloueden_US
dc.relation.ispartofseries1112-9867;
dc.subjectSludge- Dredging- Sample- Chemical Characterization- Brick-Optimization Methods- Genetic Algorithmen_US
dc.titleGENETIC PROGRAMMING FOR BRICK'S CHEMICAL ANALYSIS MODELLINGen_US
dc.typeArticleen_US

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