基于遗传粒子群算法的长江水系货多用途船结构优化  

A Study on the Structure Optimization of Multipurpose Ships in the Changjiang River System Based on the GA and the PSO

作　　者：杨敬东 何瑞峰 刘文彬 

机构地区：[1]重庆交通大学航运与船舶工程学院,重庆400074

出　　处：《重庆电力高等专科学校学报》2018年第1期57-62,共6页Journal of Chongqing Electric Power College

摘　　要：针对船舶复杂结构优化问题,结合智能优化算法在解决复杂工程结构优化设计的优势,将遗传粒子群算法应用于船舶结构优化设计中。根据中国船级社规范,建立长江水系货多用途船中剖面结构尺寸优化的数学模型,然后采用MATLAB软件对遗传粒子群算法进行编程,实现遗传粒子群算法对多用途船中部舱段结构的优化,并与遗传算法的计算结果进行对比。结果表明,遗传粒子群算法使货舱段中剖面面积相对于初始值下降了7.3%,且优化性能优于标准遗传算法。Based on the advantages of the intelligent optimization algorithm in optimization designs of complex engineering structures,the GA and the PSO are applied in optimization designs of ship structures to solve the problem of the optimization of complex ship structures. According to CCS,the mathematical modeling for the size optimization of midship sections of multipurpose ships in the Changjiang river system was made,and the GA and the PSO were programmed by means of the Matlab to realize the optimization of midship sections of multipurpose ships. A comparison was drawn between the result from both the GA and the PSO and that only from the GA,which showed that the optimized size of the midship section of the cargo section reduced by 7. 3% compared to the original value by using the two algorithms. Therefore,the optimizing performance of the integrated GA-PSO algorithm is better than standard GA.

关 键 词：遗传算法 粒子群算法 中剖面结构 结构优化 

分 类 号：U662.2[交通运输工程—船舶及航道工程]