Numerical optimization of complex systems benefits from the technological development of computing platforms in the last 20 years. Unfortunately, this is still not enough, and a large computational time is necessary for the solution of optimization problems when mathematical models that implement rich (and therefore realistic) physical models are adopted. In this paper, we show how the combination of optimization and Artificial Intelligence (AI), in particular Machine Learning algorithms, can help, strongly reducing the overall computational times, making also possible the use of complex simulation systems within the optimization cycle. Original approaches are proposed.
Machine learning algorithms in ship design optimization
SHIP TECHNOLOGY RESEARCH
D. PERI
Ship Technology Research ; 71 , 1 ; 1-13
2024-01-02
13 pages
Article (Journal)
Electronic Resource
English
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