03.06.2016 | RESEARCH PAPER
Numerical investigation of non-hierarchical coordination for distributed multidisciplinary design optimization with fixed computational budget
Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 1/2017
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Abstract
Matlab
optimization toolbox. The impact of the values of two parameters involved in the alternating directions updating scheme of the augmented Lagrangian penalty functions (aka method of multipliers) on solution quality is also investigated. Numerical results are provided for a variety of MDO test problems. The results indicate consistently that a balanced modest number of outer and inner iterations is more effective; moreover, there seems to be a specific combination of parameter value ranges that yield better results.