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Efficient Hybrid Multiobjective Optimization of Pressure Swing Adsorption
2021
Chemical Engineering Journal
A B S T R A C T Pressure swing adsorption (PSA) is an energy-efficient technology for gas separation, while the multiobjective optimization of PSA is a challenging task. To tackle this, we propose a hybrid optimization framework (TSEMO + DyOS), which integrates two steps. In the first step, a Bayesian stochastic multiobjective optimization algorithm (i.e., TSEMO) searches the entire decision space and identifies an approximated Pareto front within a small number of simulations. Within TSEMO,
doi:10.1016/j.cej.2021.130248
fatcat:vt5shizmaneklgerpzvmd374lu