System and method for product design automation and optimization based on machine learning

• Main Authors: ANAND AJAY, MANOCHA PRAMOD, GUPTA ANURAG T, SANKARAN NEDUMBAMANA, KUMAR AJAY, MEHTA NIRMAL
• Format: Patent
• Language: Chinese; English
• Published: 13.12.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

Embodiments of the present disclosure relate to systems and methods for machine learning based product design automation and optimization. Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support an optimized product design process. During a design process, information identifying a set of features for a product design is received and evaluated against machine learning logic to identify a set of components, the set of components including components corresponding to the set of features. The one or more candidate components may be identified as alternatives to the one or more sets of components based on the characteristics, and modifications for optimizing (e.g., reducing cost, weight, etc.) the sets of components may be determined based on the at least one design metric and the one or more candidate components. A final set of components optimized with respect to the at least one design metric may be output. 本公开的实施例涉及用于基于机器学习的产品设计自动化和优化的系统和方法。本公开的各方面提供支持优化的产品