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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)
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 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.
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