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多目标进化算法在船舶设计中的应用
引用本文:周奇,陈立,许辉,黄卫刚. 多目标进化算法在船舶设计中的应用[J]. 船海工程, 2013, 0(5): 6-9,15
作者姓名:周奇  陈立  许辉  黄卫刚
作者单位:中国舰船研究设计中心,武汉430064
摘    要:
针对船舶概念设计阶段船型参数优化问题,根据快速性、操纵性、舱容衡准及基于经验公式建立船舶优化数学模型,采用改进的非支配解排序的多目标进化算法(NSGA-Ⅱ),以推进系统总效率、舰船经验系数、相对回转直径及船舶造价4个参数为优化目标,选取若干设计变量,对50 000 DWT油船进行多目标优化.数值算例表明,改进的非支配解排序的多目标进化算法能够有效、客观地选择合理的船舶主尺度参数.

关 键 词:NSGA-Ⅱ  优化  船舶主尺度  油船

Application of Multi-objective Evolutionary Algorithm in Ship Design
ZHOU Qi,CHEN Li,XU Hui,HUANG Wei-gang. Application of Multi-objective Evolutionary Algorithm in Ship Design[J]. Ship &Ocean Engineering, 2013, 0(5): 6-9,15
Authors:ZHOU Qi  CHEN Li  XU Hui  HUANG Wei-gang
Affiliation:(China Ship Development and Design Center, Wuhan 430064, China)
Abstract:
Aiming at the optimization of displacement and principal parameters in ship conceptual design stage, the model of ship optimization based on empirical formula, speed, maneuverability performance, capacity were established. The non-domina- ted sorting genetic algorithm (NSGA-II) proposed by Deb, was used to perform conceptual design of a containership. The objec- tives are efficiency ratio of the propulsion system, admiralty coefficient, relative turning diameter, ship cost. The optimal results showed that the NSGA-II method can select the rational principal parameters effectively.
Keywords:NSGA-II  optimization  principal parameters  oil tanker
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