Fusion of Artificial Intelligence for Multidisciplinary Optimization: Skidding Track - Case Study

Abhishek Nigam, Debi Prasad Ghosh

Abstract: The demand for multidisciplinary optimized products in industrial engineering is high due to growing competition. But it is a highly expensive and time-consuming process. The integration of artificial intelligence in engineering design is an area of high demand. So here, using the fusion of AI, a method has been proposed to solve a multidisciplinary problem using the case study of skidding tracks.