AMOpt is a suite of tools for performing optimization and probabilistic design studies within AML applications and TIE models. Using AMOpt, engineers can easily quantify interactions among disciplines and intelligently search the design space. In conjunction with AML or TIE, AMOpt enables multidisciplinary system-level trade studies such as cost versus performance.
The AMOpt suite includes the following methods and algorithms:
- Multi-Objective Genetic Algorithm (GA)
- Design of Experiments (DOE)
- Sequential Quadratic Programming (SQP)
- Powell Method
- Nelder-Mead Simplex Method
- Monte Carlo Simulation
- Response Surface Methodology (RSM)
In addition to these built-in methods, user-defined or third-party algorithms can easily be plugged in via linked libraries or integrated through stand alone executables. For example, interfaces to the widely used optimization algorithms Design Optimization Tools© (DOT) and NPSOL© are provided with AMOpt (licenses for these algorithms must be purchased separately).
To help engineers visualize the results of trade studies and optimizations, a complete suite of plotting classes including surface, contour, bar, pie, and scatter plots is provided.
AMOpt is built on AML, and therefore it is seamlessly interoperable with all AML applications and TIE models.