Optimization of complex multidisciplinary designs under uncertainty via simulated annealing

The objective of this research is to develop a method that combines a multiobjective multidisciplinary design optimization algorithm with a method for propagating and mitigating uncertainties. Simulated annealing is chosen as the multidisciplinary design optimization algorithm and a probabilistic me...

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Bibliographic Details
Main Author: Michael Magnin
Other Authors: Yongki Go Tiauw Hiong
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/41767