Abstract
In this study, a hybrid particle swarm+ant colony optimization (PSO+ACO) was applied to solve the vapor–liquid phase equilibrium. The NRTL activity coefficient model was optimized with this new algorithm and the binary interaction parameters of twenty mixtures were obtained. The results were compared with the Levenberg–Marquardt algorithm, and show that the PSO+ACO algorithm is a good method to describe the vapor–liquid equilibrium of any binary system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
