为实现舱室布置参数化、智能化，针对船舶舱室布局优化设计的特点，建立包括舱室间物流强度目标、邻近强度目标和固定位置目标的多目标优化模型.在数学模型建立基础之上，运用基于反向学习优化种群产生法改进的遗传算法求解该模型，通过扩大解的搜索范围使其跳出局部最优，引导种群找到全局最优解.最后，运用建立的优化模型和改进后的遗传算法进行仿真实验，得到了更加合理的结果，验证了本文方法的可行性和有效性.

In order to realize the parameterization and intellectualization of cabin layout, a multi-objective optimization model including the objective of logistics intensity between cabins, the objective of adjacent intensity and the objective of fixed position was established according to the characteristics of the optimization design of ship cabin layout. Based on the establishment of the mathematical model, the improved genetic algorithm based on the reverse learning optimization population generation method was used to solve the model. By expanding the search range of the solution, it can jump out of the local optimum and guide the population to find the global optimum. Finally, the simulation experiment was carried out by using the established optimization model and the improved genetic algorithm, and more reasonable results are obtained, which verify the feasibility and effectiveness of the proposed method.