基于多岛遗传算法的半潜式平台主尺度优化研究  

Study on Optimization of Main Scale of Semi-submersible Platform Based on Multi-island Genetic Algorithm

作　　者：汪勇 权东 WANG Yong;QUAN Dong(Ocean Engineering Research and Development Centre,Nantong COSCO Shipping Engineering Co.,Ltd.,Nantong 226001,China;Division of Examination,Jiangsu Maritime Safety Administration,Nanjing 210008,China)

机构地区：[1]南通中远海运船务工程有限公司海工研发中心,江苏南通226001 [2]江苏海事局考试科,江苏南京210008

出　　处：《南通航运职业技术学院学报》2020年第4期42-47,共6页Journal of Nantong Vocational & Technical Shipping College

基　　金：工业和信息化部深水半潜式支持平台研发专项(MC-201620-H01)。

摘　　要：为优化某深水半潜式支持平台的主尺度,采用拉丁超立方设计对样本空间采样,在SESAM软件中进行参数化建模,根据现有母平台资料确定主尺度约束条件,基于多岛遗传算法分别对平台的垂荡、纵摇、横摇响应进行优化分析,选出稳性最高、排水量适宜的平台主尺度方案。结果表明,该算法能得到满足约束条件下各响应最小的主尺度方案,对平台主尺度初步方案的确定有很高的参考价值。In order to optimize the main scale of a deep-water semi-submersible supporting platform,the Latin hypercube design is adopted for space sampling,and the parameterized modeling is carried out by the SESAM software.The main scale constraint conditions are determined by the existing parent platform data.Based on multiple-island genetic algorithm,the platform’s heave,pitch,and roll responses are optimized and analyzed respectively,based on which the platform’s main scale plan with highest stability and suitable displacement is selected.The results show that the algorithm can produce the main scale scheme with the smallest response under the constraint conditions,and it has strong reference value for the determination of the preliminary scheme of the platform main scale.

关 键 词：多岛遗传算法 主尺度优化 深水半潜式支持平台 

分 类 号：U662[交通运输工程—船舶及航道工程]