... 06 2020 18 08 2020 approximation-based optimal design design methodology design optimization energy systems design hierarchical modeling multiobjective optimization simulation-based design systems design Performance demands on a wide range of engineered systems...

... chaos expansion hierarchical modeling sensitivity analysis for design uncertainty analysis Analysis of complex engineering systems often consists of many variables and multiple disciplines, which are designed and developed by multiple groups or multiple steps [ 1 , 2 ]. However, analysis...

... September 1, 2017; published online October 26, 2017. Assoc. Editor: Gary Wang. 01 06 2016 01 09 2017 Design optimization Hierarchical modeling Multidisciplinary design Multiobjective optimization Simulation-based design Systems design Optimization Codesign refers...

... optimization Design theory Hierarchical modeling Multidisciplinary design Product development Robust design Simulation-based design Design methodology Scientific discoveries are often gateways for new technologies, and in recent years, engineers have begun turning to biology for design...

... vehicle purchase decisions as detailed below [ 39 ]. All three feature learning methods are considered “simple” in that they are single-layer models. The aforementioned results in 1D waveform speech recognition and 2D image object recognition have been achieved using hierarchical models, built...

..., for United States government purposes. 17 03 2015 26 01 2016 Design methodology Design process Hierarchical modeling Micro systems Smart materials Structures Nano systems Design Synthesis The ability to control the microarchitecture of repeating unit cells within large...

... to be an optimum to the minimum volume topology optimization problem for materials subjected to pure shear boundary conditions. As such, this geometry is identified as a candidate for the shear layer. Computer-aided design Design of multiscale systems Design optimization Hierarchical modeling...

... cycle times are decreasing with the addition of new technological aids in design simulation and testing. However, customer preferences are also rapidly changing due to quickened industrial clockspeeds [( 4 )]. design evaluation design for market systems hierarchical modeling dynamic partial...

... methods consumer behaviour design engineering Bayesian estimation discrete choice analysis ordered logit complex system design hierarchical modeling error mitigation heterogeneous consumer preference Demand modeling has been utilized in the literature to express product demand...

... and organizational difficulties. In this paper, to facilitate the application of SSA to the design of complex systems especially those that follow hierarchical modeling structures, a hierarchical statistical sensitivity analysis (HSSA) method containing a top-down strategy for SSA and an aggregation approach...