Work

Genetic Programming for Brick's Chemical Analysis Modelling

Year: 2018

Type: article

Abstract: This 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.Keywords: Sludge- Dredging- Sample- Chemical Characterization- Brick-Optimization Methods- Genetic Algorithm.

Source: Journal of Fundamental and Applied Sciences

DOI: 10.4314/jfas.v10i2.23

Authors: Hafida Marouf, Abdélaziz Semcha, Noureddine Mahmoudi, N. Bouhamou

Institutions: Université de Mostaganem, Ahmed Draia University

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: diamond

OpenAlex ID: W2881136519

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