A new MDO framework has been developed in Python to provide an ideal platform for comparisons relating the performance of various MDO architectures. Specifically, it eliminates the need for reformulation while solving MDO problems in multiple disciplines. Once a problem has been implemented, its solution can be obtained from any architecture present in the framework. In addition to providing a performance comparison of the more common architectures, the modular design of the framework allows rapid testing of newly developed architectures. Results generated from this study provide a strong foundation for identifying the performance trends of various architectures with a variety of problem classes.
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