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Digital twin optimization: A sequential approach
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AI
DOI：10.1016/j.cie.2025.111235.png)
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Abstract
En 中文
• Optimizing digital twins is complex due to their multitude of responses, potentially hindering decision-making. • We propose a streamlined approach, simplifying multi-objective optimization into a single objective. • Our approach optimizes multi-response digital twins effectively, with inherent simplicity and adaptability. • Enhancing digital twins deepens understanding of physical systems, accelerating optimization efforts.
Keywords:
digital twins
multi-objective optimization
single objective
adaptive optimization
physical systems
Journal
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6.5
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1.0W
Citations:
3.8W