FAIPA_MDO – A Feasible Arc Interior Point Algorithm for Multidisciplinary Design Optimization.
Abstract
We present a new Numerical Optimization Algorithm for MDO based on FAIPA.
FAIPA_MDO employs a Mathematical Programming Model that works with linking variables and
equality constraints to introduce the interaction between disciplines. The state variables of each
discipline are considered unknowns of the Mathematical Program and the state equations are included
as additional equality constraints. Then, the state equations are solved at the same time as the
optimization problem. FAIPA_MDO interacts with the Simulation Codes corresponding to each
discipline at each of the iterations of the optimization process.
FAIPA_MDO employs a Mathematical Programming Model that works with linking variables and
equality constraints to introduce the interaction between disciplines. The state variables of each
discipline are considered unknowns of the Mathematical Program and the state equations are included
as additional equality constraints. Then, the state equations are solved at the same time as the
optimization problem. FAIPA_MDO interacts with the Simulation Codes corresponding to each
discipline at each of the iterations of the optimization process.
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ISSN 2591-3522