Search
CSV
RISHigh Dimensional Model Representation With Principal Component Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In engineering design, spending excessive amount of time on physical experiments or expensive simulations makes the design costly and lengthy. This issue exacerbates when the design problem has a large number of inputs, ...
Multi-Objective Optimization for High-Dimensional Expensively Constrained Black-Box Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multi-objective optimization (MOO) problems with computationally expensive constraints are commonly seen in real-world engineering design. However, metamodel-based design optimization (MBDO) approaches for MOO are often ...
Sequential Radial Basis Function-Based Optimization Method Using Virtual Sample Generation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To further reduce the computational expense of metamodel-based design optimization (MBDO), a novel sequential radial basis function (RBF)-based optimization method using virtual sample generation (SRBF-VSG) is proposed. ...
Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Metal additive manufacturing (AM) has recently attracted attention due to its potential for batch/mass production of metal parts. This process, however, currently suffers from problems including low productivity, inconsistency ...
An Adaptive Aggregation-Based Approach for Expensively Constrained Black-Box Optimization Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Expensive constraints are commonly seen in real-world engineering design. However, metamodel based design optimization (MBDO) approaches often assume inexpensive constraints. In this work, the situational adaptive Kreisselmeier ...
Mode-Pursuing Sampling Method Using Discriminative Coordinate Perturbation for High-Dimensional Expensive Black-Box Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This article presents a novel mode-pursuing sampling method using discriminative coordinate perturbation (MPS-DCP) to further improve the convergence performance of solving high-dimensional, expensive, and black-box (HEB) ...
A Dimension Selection-Based Constrained Multi-Objective Optimization Algorithm Using a Combination of Artificial Intelligence Methods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The computational cost of modern simulation-based optimization tends to be prohibitive in practice. Complex design problems often involve expensive constraints evaluated through finite element analysis or other computationally ...
Trust Region Based Mode Pursuing Sampling Method for Global Optimization of High Dimensional Design Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Mode pursuing sampling (MPS) was developed as a global optimization algorithm for design optimization problems involving expensive black box functions. MPS has been found to be effective and efficient for design problems ...
Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Additive manufacturing (AM) continues to rise in popularity due to its various advantages over traditional manufacturing processes. AM interests industry, but achieving repeatable production quality remains problematic for ...