Optimization of a New Integrated Separation Process for Azeotropes Based on Genetic Programming

Abstract A solution strategy of a distillation‐membrane separation process based on genetic programming algorithm (GP) is proposed. It can automatically match diverse membrane materials according to different azeotropic systems and generate various integrated processes. For the membrane, which is still in the experimental research stage, a theoretical prediction method of membrane cost is recommended. Taking the benzene‐cyclohexane system as an example, a GO‐AgNPs/PI membrane and polyurethane membrane were matched, respectively, and the optimal integrated processes can be obtained. The GP strategy provides a strong guidance for the comprehensive design and optimization of distillation‐membrane separation by using various new membranes.