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  • 标题:FAIPA_MDO – A Feasible Arc Interior Point Algorithm for Multidisciplinary Design Optimization.
  • 本地全文:下载
  • 作者:José Herskovits ; Paulo Mappa ; Anatoli Leontiev
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2007
  • 期号:1
  • 页码:2767-2775
  • 语种:English
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要: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.
  • 其他摘要: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.
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