基于区间分析方法的船舶不确定稳健设计优化

实际船舶优化设计中,大量不确定因素的存在可能会导致船舶性能达不到预定的设计目标。因此为了保证船型方案的可行性,本文将区间分析方法应用到不确定稳健设计优化中,以一条散货船的概念设计为例,针对单个不确定变量存在和多个不确定变量共同存在的情况,分别进行研究,以单位运输成本的中值和半径最小为目标,采用双层嵌套优化体系,内层采用多岛遗传算法求解目标函数的区间,外层采用NSGA-II算法来优化目标函数,从而保证船舶的稳健性。

Ship uncertainty robust optimization based on interval analysis method

In the actual ship optimization design, the existence of a large number of uncertain factors may lead to the performance of the ship can not reach the intended design goals. In order to ensure the feasibility of the ship forms, the interval analysis method is applied to the uncertain robust optimization design.We take the conceptual design of bulk carriers as an example, in the case of uncertain variables single existence and multiple co-existence, the study is conducted respectively.Minimizing the median and radius of unit transportation costs as the target,double nested optimization structure was used. The inner layer uses the MIGA (Multi Island Genetic Algorithm )to solve the interval of the objective function, the outer layer uses the NSGA-II algorithm to optimize the objective function to ensure the robustness of ship.