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Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study

机译:复杂问题的耦合动力学仿真和交互式多目标优化:APROS-NIMBUS案例研究

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摘要

Dynamic process simulators for plant-wide process simulation and multiobjective optimization tools can be used by industries as a means to cut costs and enhance profitability. Specifically, dynamic process simulators are useful in the process plant design phase, as they provide several benefits such as savings in time and costs. On the other hand, multiobjective optimization tools are useful in obtaining the best possible process designs when multiple conflicting objectives are to be optimized simultaneously. Here we concentrate on interactive multiobjective optimization. When multiobjective optimization methods are used in process design, they need an access to dynamic process simulators, hence it is desirable for them to coexist on the same software platform. However, such a co-existence is not common. Hence, users need to couple multiobjective optimization software and simulators, which may not be trivial. In this paper, we consider APROS, a dynamic process simulator and couple it with IND-N1MBUS, an interactive multiobjective optimization software. Specifically, we: (a) study the coupling of interactive multiobjective optimization with a dynamic process simulator; (b) bring out the importance of utilizing interactive multiobjective optimization; (c) propose an augmented interactive multiobjective optimization algorithm; and (d) apply an APROS-NIMBUS coupling for solving a dynamic optimization problem in a two-stage separation process.
机译:工业界可以将用于工厂范围内过程仿真的动态过程仿真器和多目标优化工具用作削减成本和提高盈利能力的手段。具体而言,动态过程仿真器在过程工厂设计阶段非常有用,因为它们具有多种优势,例如节省时间和成本。另一方面,当要同时优化多个冲突目标时,多目标优化工具可用于获得最佳的过程设计。在这里,我们专注于交互式多目标优化。在过程设计中使用多目标优化方法时,它们需要访问动态过程模拟器,因此希望它们可以共存于同一软件平台上。但是,这种共存并不常见。因此,用户需要结合多目标优化软件和仿真器,这可能并不简单。在本文中,我们考虑了动态过程仿真器APROS,并将其与交互式多目标优化软件IND-N1MBUS结合使用。具体来说,我们:(a)研究交互式多目标优化与动态过程模拟器的耦合; (b)指出利用交互式多目标优化的重要性; (c)提出一种增强的交互式多目标优化算法; (d)应用APROS-NIMBUS耦合来解决两阶段分离过程中的动态优化问题。

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