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作 者:黄亚南 司萌 陈蒙乐 康琪 周俊秋 HUANG Ya'nan;SI Meng;CHEN Mengle;KANG Qi;ZHOU Junqiu(School of Navigation and Naval Architecture,Dalian Ocean University,Dalian 116023,Liaoning,China)
机构地区:[1]大连海洋大学航海与船舶工程学院,辽宁大连116023
出 处:《船舶工程》2022年第7期122-129,共8页Ship Engineering
基 金:辽宁省自然基金指导计划资助项目(2019-ZD-0732);辽宁省教育厅资助项目(JL201916)。
摘 要:针对基于传统评判方法的技术经济论证无法对方案进行充分改进,且计算结果精度不高、效率低等缺点,基于可视化编程环境,结合Pareto前沿理论的遗传算法和TOPSIS法构建了船舶主尺度技术经济智能寻优模型,并以秋刀鱼兼鱿鱼钓船为例进行了船型方案寻优。该智能寻优模型弥补了传统技术经济论证方法的不足,能够在船舶设计初期较快速、准确地为设计人员提供优秀的船型方案,并为同类船舶的船型选优提供有益参考与技术支持。In view of the shortcomings that the technical and economic demonstration of the traditional evaluation method can not fully improve the scheme,and the result accuracy is not high and the efficiency is low,an intelligent optimization model of ship principal dimension technology and economy in two stages is constructed based on the visual programming environment,combined with the genetic algorithm of Pareto frontier theory and TOPSIS method,an intelligent optimization model for the technical and economic optimization of the main dimensions of the ship is constructed,and taking the saury and squid fishing boat as an example,the optimization of the ship type scheme is carried out.The intelligent optimization model makes up for the shortcomings of traditional technical and economic demonstration methods,can quickly and accurately provide excellent ship type schemes for designers in the early stage of ship design,and provide reference and support for ship type optimization of similar ships.
关 键 词:船舶主尺度 可视化编程环境 智能优化方法 技术经济论证 多目标寻优 多属性决策
分 类 号:U662.2[交通运输工程—船舶及航道工程]
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