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.

Genetic programming for bricks chemical analysis modelling

To overcome the deficit in natural resources and meet the ever-increasing demand in the field of construction, waste recovery channels represent significant interests in a sustainable development perspective.
The valorization of the dredged silt at the Bouhanifia dam, located in the north-west of Algeria, for its use in the brick-making technology is the way we have followed. In the context of decision support in order to have an adequate chemical analysis of a clay used in the manufacture of red brick, the use of the Electre III multi-criteria method, developed in hybridization with the Genetic Algorithm, is recommended, which makes it possible to establish a ranking of the different parameters, within a set of potential actions constituting a range of possible solutions for the choice of the best chemical composition of the mud from the dredging of the Bouhanifia dam.

/pdf/the-hybridization-apparatus-for-a-new-chemical-composition-4f8he2hisz.pdf

The HYBRIDIZATION APPARATUS FOR A NEW CHEMICAL COMPOSITION OF THE DREDGING SLUDGE: CASE OF THE BOUHANIFIA DAM

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The HYBRIDIZATION APPARATUS FOR A NEW CHEMICAL COMPOSITION OF THE DREDGING SLUDGE: CASE OF THE BOUHANIFIA DAM