Genetic algorithms scramble the candidate solutions of the optimized algorithm as a string of characters which are usually binary digits.
Similar to the earlier quasi 3D solutions of the optimized design, the pressure is nicely homogenized in the region of main reactor height, and also the streamlines arrange parallel through the main reactor.
The GA fits a population of random solutions to the optimized solution of a specific problem.
The numerical solution of calculating the optimized parameters of the OFOCI is introduced.
A maximum removal percentage (94%) of Cr (VI) ions was obtained for a 100 mg/L aqueous solution at the optimized conditions of pH value of 2.0, adsorbent dosage of 0.2 g, time of 2.5 h and stirring speed of 300 rpm.
The optimized solution of the damper given by the optimization process is tested experimentally as well as through FEM for 95% confidence level at 0.1 A. The results on the optimized damper conformed well to the optimal design results (as given by the DoE).
Using Equation 22, the electrical energy (kWh/m3) required to electrochemically remove 20 mg/L of phenol from 2,000 mL of its solution in the optimized conditions is 9 kWh/m3.
So, the electrical energy (kWh/m3) required to photochemically remove 20 mg/L of phenol from 2,000 mL of phenol solution in the optimized conditions (I = 0.3 A, pH = 4, [Mn2+0 = 0.3 mM) is 15 kWh/m3. The electrical energy consumption in the electrochemical process was calculated using the commonly used Equation 22 [18]: E = U × Ι × t V s × 3.6 × 10 3 Open image in new window (22).
When 10.00 g of GFAC with particle size of 0.25 0.85 mm was modified by 150.0 ml of aqueous H2O2 solution, the optimized conditions were found to be as follows: aqueous H2O2 solution concentration 1.0 mol·l−1, modification temperature 30.0 °C, modification time 4.0 h.
Results from this study indicate that there is a significant reduction in the TSP penalty value of the optimized solution, as a result of incorporating SDF criterion during the optimization process.
