石油平台支援船多目标总体优化方法研究

Research and application on multi-objective optimization design of oil platform support vessel

在船舶初步设计阶段,船舶的快速性、操纵性、耐波性等性能和空船重量、经济性的预估是一个重要的工作环节,而石油平台支援船(OSV)由于自身的特点,其设计和建造的难度和风险较大.文中在对国内外遗传算法的多目标优化方法研究的基础上,提出了一种改进的基于复杂系统复杂约束的多目标遗传算法.以提高OSV总体性能和节省造价为目的,对OSV进行总体优化设计,弥补了传统设计方法中的缺陷.

In the initial design stage of ships,speed performance,maneuverability,sea keeping,light weight and economic forecast are very important aspects.The design and construction of oil platform support vessel（OSV） are difficult and existing risk because of their own characteristics.In this study,based on the research of the domestic and foreign multi-objective optimization methods,an improved multi-objective genetic algorithm is suggested by considering the complexity of a complex system.With the purpose of optimization of the general performance and cost savings,the OSV is generally designed.It can make up the traditional design defects.