DEVELOPING A MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR PREDICTING HULL DIMENSIONS OF SEMI-SUBMERSIBLE PLATFORM

One of the main approaches in order to improve the performance of semi-submersible drilling platform is its hull geometry optimization. Developing a method foroptimal design of this type of platform that achieves the best answer in a short time according to certain objectives, is incredibly significant. In this paper, by developing GridSearch (GS) algorithm as multi-objective optimization, the hull dimensions of a typical semi-submersible platform was estimated. The objectives were minimizing hullweight and its heave motion response. In this algorithm, design constraints of semi-submersible platform such as stability, air gap, draught, geometrical limitations, hullweight, and heave motion response were considered. Then, by implementing GS’ algorithm, the optimal hull dimensions of the studied platform were estimated. It achieved valid and reliable results with low computational time. Moreover, it is a more easy method to use for multiobjective functions in the floating or semi-floatingstructures.