A Filter-Based Sample Average SQP For Optimization Problems with Highly Nonlinear Probabilistic Constraints
碩士 === 國立成功大學 === 機械工程學系碩博士班 === 97 === In this work we extend a filter-based sequential quadratic programming (SQP) algorithm to solve reliability-based design optimization (RBDO) problems with highly nonlinear constraints. This filter-based SQP uses the approach of average importance sampling (AAI...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/74377744204413903021 |