Modeling and Pareto optimization of gas cyclone separator performance using RBF type artificial neural networks and genetic algorithms

► Single and multi-objective genetic algorithms optimization studies have been performed. ► A new optimum design (geometrical ratios) for minimum pressure drop has been obtained. ► The CFD study confirms the superiority of the new design over the Stairmand design. ► The designer can use the Pareto front points given for 16 test cases. ► This study presents a new correlation between the Stokes and Euler numbers.