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The OPTIMUS Multi-Objective Optimization (MOO) module contains 9 MOO methods and allows users to efficiently optimize their designs with two or more, often competing objectives.
The MOO methods are the Normal-Boundary Intersection method, the Weighted Objective method, the Weighted Tchebycheff method and the Min-Max Optimum method which calculate so-called Pareto fronts.
In addition, the Trade-Off method, the Hierarchical method, the Distance function method (Euclidian norm), the Distance function method (Goal programming) and the Global Criterion method compute individual Pareto points.
New powerful post-processing functionality includes 2D and 3D Pareto plots and the Objectives Contribution plot.
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