MATHEMATICAL OPTIMIZATION BY GENETIC ALGORITHMS OF BIOSTIMULATION IN A DIESEL-GASOLINE CONTAMINATED SOILS. ALI AHMED AND D. SADOUDI-ALI AHMED
This work aimed to determine the optimal concentrations of inorganic fertilizers and the treatment duration in biostimulation of a diesel-gasoline contaminated soil by evaluating the soil biological quality, in an approach of sustainable development. The biological parameters considered in this study are the mineral carbon of the released CO2 by the microbial respiration (C-CO2), the microbial biomass and the germination of maize seeds. The optimization using genetic algorithms gave optimal concentrations of fertilizers which permit to restore the biological quality of the soil and to economize 0.627 kg and 0.361 kg of nitrogenous and phosphorous fertilizers respectively, in 1m2 of soil over 20 cm depth, in only 6-6.5 weeks of the treatment. Laboratory and field experiments yielded results consistent with the optimal solutions given by the genetic algorithms optimization.