Published February 7, 2024
| Version v1
Publication
A Mathematical optimization and machine learning approach for pipeline routing
Description
In shipbuilding, pipeline routing is a difficult problem as space is rather limited. This constraint and others related to obstacles, costs, legislation, or operability are considered to set the pipeline layout by means of a mathematical model. The problem is solved in an exact or heuristic way when the complexity increases when dealing with real instances, using Artificial Intelligence tools. In this work, we outline some issues and solution proposals which have been applied to a case study that shows the usefulness of mathematical tools in design engineering.
Additional details
- URL
- https://idus.us.es/handle//11441/154845
- URN
- urn:oai:idus.us.es:11441/154845
- Origin repository
- USE