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A Response Surface Methodology for Bi-Level Integrated . . . (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Altus, Troy David |
| Description | BLISS (Bi-Level Integrated System Synthesis) is a decomposition optimization method for engineering systems. The method is characterized by the separate optimization of a relatively few system-level variables and the optimization of potentially numerous local variables. Subsystem optimizations are autonomous and may be conducted concurrently (i.e. on a multiple processor computer). In previous versions of BLISS, optimum sensitivity analysis and system sensitivity data were used to link the subsystem optimization data to the system optimization. The current work replaces both the optimum sensitivity analysis and the system sensitivity equations by the quadratic response surface representations using subsystem optimization results. The response |
| File Format | |
| Language | English |
| Publisher Date | 2002-01-01 |
| Publisher Institution | INTEGRATED SYSTEM SYNTHESIS (BLISS),” NASA CR |
| Access Restriction | Open |
| Subject Keyword | Decomposition Optimization Method Numerous Local Variable Current Work Replaces System Sensitivity Equation System-level Variable System Optimization System Sensitivity Data Multiple Processor Computer Subsystem Optimization Result Bi-level Integrated Response Surface Methodology Subsystem Optimization Data Engineering System Optimum Sensitivity Analysis Bi-level Integrated System Synthesis Quadratic Response Surface Representation Separate Optimization Previous Version Subsystem Optimization |
| Content Type | Text |
| Resource Type | Article |
