AN APPLICATION OF A MULTI-OBJECTIVE OPTIMAL SATISFICING TECHNIQUE TO CONSTRUCTION ACCURACY CONTROL OF CABLE-STAYED BRIDGE

多目标优化满意技术在斜拉桥施工精度控制中的应用

基本信息

  • 批准号:
    08680474
  • 负责人:
  • 金额:
    $ 1.22万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    1996
  • 资助国家:
    日本
  • 起止时间:
    1996 至 1997
  • 项目状态:
    已结题

项目摘要

The construction accuracy control of cable stayd bridge can be formulated as a multi-objective optimization. In this event, the number of objective functions useally becomes very large. The head investigator of this research project has suggested an efficient method, called the satisficing trade-off method, for solving such a problem with a great number of objective functions. One of main aims of this research is to decrease the burden of the decision maker in construction accuarcy control of cable stayd bridges by incorporating the satisficing trade-off method into the construction accuracy control systems with some devices of human interface.In the first year of the research term, the computer program of the satisficing trade-off method was built in the construction accuracy control system. Furthermore, the computer program of the exact trade-off method which makes the trade-off analysis much easier was accomplished.In the next year of the research term, the computer program of the exact trade-off method was built in the accuracy control systems. In addition, some devices for the human interface were made by visualizing the input-output interface so the decision maker can utilize the system very easily. Next, the system was applied to data of some real cable stayd bridges in order to be polished up from a practical viewpoint. Finally, it seems that we have established an accuracy control system for cable-stayd bridge with a sufficiently high degree of practical use.
斜拉桥的施工精度控制可以表述为多目标优化。在这种情况下,目标函数的数量通常会变得非常大。该研究项目的首席研究员提出了一种有效的方法,称为令人满意的权衡方法,用于解决具有大量目标函数的问题。本研究的主要目的之一是通过将满意权衡方法与一些人机界面设备结合到施工精度控制系统中,减轻斜拉桥施工精度控制决策者的负担。在研究学期的第一年,在施工精度控制系统中构建了满意权衡方法的计算机程序。此外,还完成了精确权衡方法的计算机程序,使权衡分析更加容易。在研究学期的第二年,在精度控制系统中建立了精确权衡方法的计算机程序。此外,一些人机界面设备是通过可视化输入输出界面来制作的,因此决策者可以非常轻松地使用该系统。接下来,将该系统应用到一些实际斜拉桥的数据中,从实用的角度进行完善。看来我们已经建立了一个实用化程度足够高的斜拉桥精度控制系统。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
K. Mitani: "A Multi-objective Diet Planning Support System using the Satisficing Trade-off Method" J. Multi-criteria Decision Analysis. Vol. 6. 131-139 (1997)
K. Mitani:“使用满意权衡方法的多目标饮食计划支持系统”J. 多标准决策分析。
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    0
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  • 通讯作者:
H. Nakayama: "Some Remarks on Trade-off Analysis in Multi-objective Programming" Multicriteria Analysis, ed. by J. Climaco. 179-190 (1997)
H. Nakayama:“多目标规划中权衡分析的一些评论”多标准分析,编辑。
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    0
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  • 通讯作者:
H.NAKAYAMA: "SOME REMARKS ON DUALKIZATION IN VECTOR OPTIMIZATION" J.OF MULTI-OBJECTIVE DECISION ANALYSIS. VOL.5. 218-225 (1996)
H.NAKAYAMA:“关于向量优化中的二元化的一些评论”J.OF 多目标决策分析。
  • DOI:
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  • 影响因子:
    0
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  • 通讯作者:
H. Nakayama: "Some Remarks on Dualization in Vector Optimization" J. of Multi-criteria Decision Analysis. Vol. 5. 218-225 (1996)
H. Nakayama:“向量优化中对偶化的一些评论”J. of Multi-criteria Decision Analysis。
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  • 影响因子:
    0
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  • 通讯作者:
H. Nakayama: "Exploration of Multi-objective Problems in Artificial Intelligence" Essays in Decision Making, ed. by M. H. Karwarn, J. Spronk and J. Wallenius. 201-214 (1997)
H. Nakayama:“人工智能中多目标问题的探索”决策论文,编辑。
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NAKAYAMA Hirotaka其他文献

NAKAYAMA Hirotaka的其他文献

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{{ truncateString('NAKAYAMA Hirotaka', 18)}}的其他基金

Therapeutic strategy targeting epigenetics in anaplastic thyroid carcinoma
甲状腺未分化癌表观遗传学治疗策略
  • 批准号:
    19K09052
  • 财政年份:
    2019
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Sequential Approximate Multiobjective Robust Optimization using ComputationalIntelligence and its Applications to Engineering Problems
使用计算智能的顺序近似多目标鲁棒优化及其在工程问题中的应用
  • 批准号:
    22510164
  • 财政年份:
    2010
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Multiobjective Model Predictive Control Using Computational Intelligence and its Applications to Plant Operation Problems
使用计算智能的多目标模型预测控制及其在工厂运行问题中的应用
  • 批准号:
    19510163
  • 财政年份:
    2007
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Optimizing black-box objective functions using computational intelligence and its application to seismic reinforcement of cable stayed bridges
利用计算智能优化黑盒目标函数及其在斜拉桥抗震加固中的应用
  • 批准号:
    16510130
  • 财政年份:
    2004
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
EVALUATION AND MANAGEMENT OF CREDIT RISK USING COMPUTATIONAL INTELLIGENCE AND MULTI-OBJECTIVE DECISION MAKING
利用计算智能和多目标决策评估和管理信用风险
  • 批准号:
    13680540
  • 财政年份:
    2001
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
An International Joint Research on Agricultural Resource Management
农业资源管理国际联合研究
  • 批准号:
    10898015
  • 财政年份:
    1998
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
PORTFOLIO OPTIMIZATION USING MULTI-CRITERIA DECISION ANALYSIS AND MACHINE LEARNING
使用多标准决策分析和机器学习进行投资组合优化
  • 批准号:
    10680441
  • 财政年份:
    1998
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
LEARNING FOR PATTERN CLASSIFICATION USING MULTI-OBJECTIVE PROGRAMMING AND ITS APPLICATON TO DIAGNOSIS SUPPORT SYSTEM OF DIABETIC ANGIOATHY
多目标规划学习模式分类及其在糖尿病血管病诊断支持系统中的应用
  • 批准号:
    06680414
  • 财政年份:
    1994
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (C)
DEVELOPMENT OF GROUP WARE BY MULTI-OBJECTIVE DECISION ANALYSIS
通过多目标决策分析开发Group Ware
  • 批准号:
    04832045
  • 财政年份:
    1992
  • 资助金额:
    $ 1.22万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (C)

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