Simulation-based multi-objective optimization of side-hull arrangement applied to an inverted-bow trimaran ship at cruise and sprint speeds

Numerical optimization of an inverted-bow trimaran is carried out through three simulation-based design (SBD) frameworks. Different positions the trimaran’s side hull are investigated based on a computational fluid dynamics solver using non-dominated sorting genetic algorithm-III (NSGA-III), simultaneous hybrid exploration that robust, progressive and adaptive (SHERPA) response surface (RS) multi-objective for resistance at cruise sprint speeds. The aims to create develop convenient tool investigate appropriate position hull. An automated, low-cost platform achieved can be implemented in other maritime projects. A 10.5% drag reduction speed 6.6% obtained, corresponding lower longitudinal large transversal distances SHERPA NSGA-III produce same results, but 2.5 times faster than NSGA-III. RS obtains less desirable lowest central processing unit time.