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A Clustering-Based Surrogate Model Updating Approach to Simulation-Based Engineering Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper addresses the critical issue of effectiveness and efficiency in simulation-based optimization using surrogate models as predictive models in engineering design. Specifically, it presents ...
Ontologies for Supporting Engineering Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents an optimization ontology and its implementation into a prototype computational knowledge-based tool dubbed ONTOP (ontology for optimization). Salient feature of ONTOP include a ...
Learning-Based Preference Modeling in Engineering Design Decision-Making
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Focusing on the efforts towards a consistent preference representation in decision based engineering design, this paper presents a learning-based comparison and preference modeling process. Through ...
A Semantic Information Model for Capturing and Communicating Design Decisions
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A semantic information model to improve reuse and communication of engineering design knowledge is presented in this paper. We consider design to be a process involving a sequence of decisions ...