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Selection of solutions in multi-objective optimization: Decision making and robustness

机译:多目标优化中解决方案的选择:决策和鲁棒性

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A multidisciplinary design an optimization framework based on the use of multi-objective evolutionary algorithms, together with decision making and robustness strategies, was used to optimize the polymer extrusion process. This methodology was applied with the aim to select the best solutions from the Pareto set in a multi-objective environment. The application to a complex polymer extrusion case study demonstrated the validity and usefulness of the approach.
机译:基于多目标进化算法的多学科设计优化框架,以及决策和鲁棒性策略,被用于优化聚合物挤出工艺。应用此方法的目的是在多目标环境中从Pareto集合中选择最佳解决方案。在复杂的聚合物挤出案例研究中的应用证明了该方法的有效性和实用性。

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