摘要
根据轴系实际情况,综合考虑轴系校中需优化的技术指标(优化目标),并结合相应的约束条件及参变量,建立多目标优化模型。针对轴系校中优化的特点,采用多目标遗传算法(MOGA)对轴系校中优化模型进行求解计算,快速且精确地得到最优轴系校中状态。该方法可提高船舶推进轴系校中质量和优化效率,为轴系校中优化设计提供理论指导。
According to the actual shafting,the technical indexes(optimization objectives)need to be optimized for shafting alignment is comprehensively considered,and a multi-objective optimization model is established according to the corresponding constraints and parameters of shafting.Considering to the characteristics of shafting alignment optimization,the multi-objective genetic algorithm(MOGA)is applied to solve the optimization model of shafting alignment,which can get the optimal alignment state of shafting quickly and accurately.This method can improve the quality of ship propulsion shafting alignment and optimize efficiency,provide theoretical guidance for shafting alignment design and its optimization.
作者
代丽华
张志敏
DAI Lihua;ZHANG Zhimin(Automobile and Ship Engineering Department,Yantai Vocational College,Yantai 264670,Shandong,China)
出处
《船舶工程》
CSCD
北大核心
2022年第2期65-68,139,共5页
Ship Engineering
基金
湖南省科持厅支撑计划项目(2014NK4079)
关键词
推进轴系
轴系校中优化
多目标遗传算法
propulsion shafting
shafting alignment optimization
multi-objective genetic algorithm(MOGA)