GENETIC PROGRAMMING FOR BRICK'S CHEMICAL ANALYSIS MODELLING

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dc.contributor.authorH, . Marouf1*
dc.contributor.authorA*, . Semcha2,
dc.contributor.author, Mahmoudi3 N
dc.contributor.author, Bouhamou1 N.
dc.date.accessioned2023-05-09T08:57:36Z
dc.date.available2023-05-09T08:57:36Z
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) using the genetic algorithm.en_US
dc.identifier.citationH. Marouf1*, A. Semcha2, N. Mahmoudi3, N. Bouhamou1.GENETIC PROGRAMMING FOR BRICK'S CHEMICAL A. Journal of Fundamental and sciences. vol.10, no 2. May 2018. Faculty of exact sciences. university of el oued. [visited in18/12/2017. available from [[email protected]]NALYSIS MODELLINGen_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/22413
dc.language.isoenen_US
dc.publisheruniversity of eloued جامعة الواديen_US
dc.relation.ispartofseries1112-9867;
dc.subjectSludge- Dredging- Sample- Chemical Characterization- Brick-Optimization Methods- Genetic Algorithm.en_US
dc.titleGENETIC PROGRAMMING FOR BRICK'S CHEMICAL ANALYSIS MODELLINGen_US
dc.typeArticleen_US

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