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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Format: | Thesis |
Language: | English |
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2010
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Online Access: | https://hdl.handle.net/10356/41767 |