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NSGA-Ⅱ算法与能量法相结合的舰艇居住舱室布局优化研究

冯青 张承嫄 余隋怀 陈登凯

冯青,张承嫄,余隋怀, 等. NSGA-Ⅱ算法与能量法相结合的舰艇居住舱室布局优化研究[J]. 机械科学与技术,2023,42(8):1349-1356 doi: 10.13433/j.cnki.1003-8728.20220039
引用本文: 冯青,张承嫄,余隋怀, 等. NSGA-Ⅱ算法与能量法相结合的舰艇居住舱室布局优化研究[J]. 机械科学与技术,2023,42(8):1349-1356 doi: 10.13433/j.cnki.1003-8728.20220039
FENG Qing, ZHANG Chengyuan, YU Suihuai, CHEN Dengkai. Optimizing Residential Cabin Layout of Naval Ship with Energy Method and NSGA-II Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2023, 42(8): 1349-1356. doi: 10.13433/j.cnki.1003-8728.20220039
Citation: FENG Qing, ZHANG Chengyuan, YU Suihuai, CHEN Dengkai. Optimizing Residential Cabin Layout of Naval Ship with Energy Method and NSGA-II Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2023, 42(8): 1349-1356. doi: 10.13433/j.cnki.1003-8728.20220039

NSGA-Ⅱ算法与能量法相结合的舰艇居住舱室布局优化研究

doi: 10.13433/j.cnki.1003-8728.20220039
基金项目: 国家自然科学基金项目(51805043)
详细信息
    作者简介:

    冯青(1982−),教授,硕士生导师,博士,研究方向为工业设计、人机工程学等,qingf_23@sina.com

  • 中图分类号: U663.8;TP18

Optimizing Residential Cabin Layout of Naval Ship with Energy Method and NSGA-II Algorithm

  • 摘要: 为了提高舰艇居住舱室布局优化求解速度,将能量法引入NSGA-Ⅱ算法。借鉴能量法的思想建立待布舱室数学模型,量化舱室内属具摆放的具体要求,并以此形成目标函数进行方案筛选。利用MATLAB在二维平面内实现舱室布局优化方案的自动化输出。最后,以某舰艇20人居住舱室为例对方法进行了验证。实验结果表明,采用该方法的布局设计速度明显提升,布局方案满足需求且提高了舱室的空间利用率。
  • 图  1  某舰艇士兵居住舱室实景图

    Figure  1.  Real picture of the living quarters of soldiers on a ship

    图  2  舱室单元四壁能量赋值及待布单元在舱内布置方案

    Figure  2.  Energy assignment of four walls of cabin unit and arrangement scheme of unit to be distributed in cabin

    图  3  NSGA-Ⅱ算法实现流程图

    Figure  3.  NSGA-Ⅱ algorithm implementation flow chart

    图  4  船艏舱室能量值图

    Figure  4.  Bow room energy value diagram

    图  5  居住舱室几何化图

    Figure  5.  Geometric diagram of accommodation

    图  6  待布舱室能量值图

    Figure  6.  Energy value diagram of the room to be laid

    图  7  舱室布局方案Pareto最优解集

    Figure  7.  Cabin layout scheme Pareto optimal solution set

    图  8  NSGA-Ⅱ输出方案

    Figure  8.  NSGA-Ⅱ output scheme

    图  9  居住舱室最终效果图及细节展示图

    Figure  9.  Living room final effect drawing and detail display drawing

    表  1  舱室单元能量值求解

    Table  1.   The energy value of the cabin unit is solved

    方案序号属具数量能量值
    10
    1$ b $
    1$ b + c $
    2$ c + d $
    2$ a + b + c + d $
    3$ a + b + c + d + d $
    下载: 导出CSV

    表  2  待布舱室及待布单元数据

    Table  2.   Data of waiting room and waiting unit

    舱室编号单元类型单元名称个数编号
    /mm
    宽/mm中心点坐标
    XY
    居住舱A固定单元门(位置固定)2180080036006600
    280080036001400
    楼梯(位置固定)132000100035009500
    待布单元床单元64~101900700待布
    书桌单元211~12800600
    储物单元213~141000800
    居住舱B固定单元门(位置固定)2
    1580080084008600
    1680080084001400
    待布单元床单元617~231900700待布
    书桌单元224~25800600
    储物单元226~271000800
    下载: 导出CSV

    表  3  方案1布局优化结果

    Table  3.   Scheme 1 Layout optimization results

    舱室属具单元编号X/mmY/mmsi/mmqi/mm
    居住舱A床单元435090507001900
    5350950
    63504750
    73507150
    83502850
    936504950
    1036502750
    储物单元11250096001000800
    12360075008001000
    书桌单元133600300800600
    1436004000800600
    居住舱B床单元171165090507001900
    1811650950
    19116504750
    20116507150
    21116502850
    2283502750
    2383505600
    储物单元24840096008001000
    2585004001000800
    书桌单元2683007800800600
    2784004350600800
    下载: 导出CSV

    表  4  方案有效活动空间计算

    Table  4.   Scheme active space calculation

    方案有效空间面积/m2方案有效空间面积/m2
    150.35350.40
    251.69449.06
    下载: 导出CSV
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  • 收稿日期:  2021-06-07
  • 刊出日期:  2023-08-31

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