【摘要】 油轮中剖面横构件优化设计的设计变量为连续和离散的混合变量,文中引入的遗传算法能很好地解决连续和离散混合设计变量的优化问题.与其他优化方法相比,遗传算法(GA)的突出优点是能求得全局最优解.此外,GA不依赖于初始解,所以大大减少了选取一个合适的初始解的工作量.用经过改进的遗传算法来优化3艘油轮的中剖面横构件,在强度满足的条件下,重量分别减轻了1%～2%,取得了令人满意的结果,说明遗传算法用于结构优化设计是可行且高效的.更多还原

【Abstract】 In order to solve the mixed design variables including continuous and discrete variables, a genetic algorithm (GA), which is able to find the global optimum solution and to greatly reduce the computational work required for choosing a proper initial solution,has been used for the optimum structural design of midship sectional transverse members of a real ship. The weight reduction of 1%～2% achieved with strength requirements satisfied shows that GA is feasible and efficient for optimum structural design.更多还原