Multi-objective optimization of liquid-liquid mixing in helical pipes using Genetic Algorithms coupled with Computational Fluid Dynamics

•Optimization was done to maximize mixing and minimize pressure drop in helical pipes.•Using a fully-automatized optimization code coupled with CFD simulations.•All geometrical parameters of helical pipes were widely varied.•The optimal range of Reynolds number between 20 and 60 was considered.•Optimal configurations were obtained, and a single global optimum was suggested.