… Recently, genetic algorithms (GA) efficiently used for solving … The genetic algorithm is
applicable to solve a variety of … approaches namely genetic algorithm and assemble ANN. …

… On the other hand, most EAs, such as genetic algorithms, focus on function optimization. In
the case of modeling, while a genetic algorithm or other similar EAs can be used to optimize …

… We used a genetic algorithm for optimization of adsorption process. … , commercially available
activated carbons are expensive that associated with preparation of activated carbon from …

… We used from genetic algorithm coupled whit the CCD for … Genetic algorithm is a randomly
global search and an … is satisfied, while the genetic algorithm explores all regions of the …

… (genetic algorithms) were designed to determine the sustainability and optimize the performance
of municipal wastewater and activated carbon … on the ANN (genetic algorithms) models …

In this study a green approach described for the synthesis of copper sulfide nanoparticles
loaded on activated carbon (CuS-NP-AC) and usability of it for the removal of reactive orange …

… In the present study, activated carbon (AC) simply derived from … and genetic algorithm
optimization have been used for prediction of adsorption of methylene blue using activated carbon …

… structure and properties of activated carbon electrode material by … genetic algorithm (HAGA)
neural network. In this paper, the predicting pore structure model of activated carbon EDLCs …

… The Matlab R20011a genetic algorithm toolbox has been applied for GA processes with
100 generation, population size of 100 with scattered crossover function of 0.8 based on rank …

… In this study, activated carbon engrafted with Ag nanoparticles (Ag-NPs–AC) was prepared
… a desirability function approach (DFA) and genetic algorithm (GA). The isotherm models for …