Artificial Intelligence (AI) or to be specific, Machine Learning (ML) tools are revolutionizing the field of ship design, not by hastening the concept design stage, but by enhancing the exploration of the solution space. By allowing hundreds of variations to be considered and calculated overnight we can improve the quality of the designs and have greater confidence in the trade-off space decisions. These types of tools might seem on paper like the work of science fiction but by focusing on specific problem sets, real working solutions can be provided today.
This presentation will outline a range of different applications and real life working examples of “AI” in the ship design process, from robotic process automation and neural networks in hullform design to genetic algorithms in layout. It should be noted that these tools are not intended to replace the Naval Architect anytime soon, but should be used in partnership to improve the way we work. While ML tools can collate information efficiently, the complex nature of the trade-off decisions in ship design necessitates careful human judgement. Instead, these tools serve as valuable aids for addressing specific challenges within the design space. Thus, the role of AI and ML in ship design is one of collaboration and enhancement, rather than replacement. The talk will also highlight some of our latest workboat design concepts, highlighting the synergy between human expertise and computational design tools.
