基于双种群算法的模拟移动床多目标操作优化

以有限元法求解模拟移动床的稳态TMB模型和动态SMB模型,提出基于Pareto非劣解集的多目标双种群遗传粒子群算法;利用动态SMB模型仿真模拟移动床色谱吸附分离过程,以分离纯度和性能指标分别作为约束条件和目标函数进行多目标操作优化设计.仿真结果表明,SMB模型较之TMB模型更真实可靠,双种群遗传粒子群算法也较单一种群的...

Multi-objective Optimization of Simulated Moving Bed Based on GA and PSO Algorithm

Both dynamic SMB model and steady TMB model were solved with finite elements method.Multi-objective genetic algorithm（GA） and particle swarm optimization（PSO） based on Pareto non-inferior solutions set were combined to optimize the operating condition.Double populations were chosen when one using GA and another using PSO and evolving independently but accompanied by individual migration.The results show that the SMB approach outperforms the TMB,and the GA and PSO algorithms have better convergence and robustness.The optimized operating conditions are effective to improve the separation performance.