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Topological Generation of Network Flow Problems

Topological Generation of Network Flow Problems
网络流问题的拓扑生成
批准号:
9300196
负责人:
Jonathan Cagan
金额:
$24.39万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-11-01 至 1998-04-30

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中文摘要
翻译
9300196卡根形状退火法用于生成流动系统的网络拓扑。形状退火法结合了形状文法的概念和模拟退火法的随机优化技术,产生了最优定向设计构型。形状退火法在网络流问题中的应用包括部件布局、结构拓扑生成(如桁架)以及土地利用和交通问题。应用程序需要一个形状语法来模拟设计空间的特征和对设计的评估函数
英文摘要
9300196 Cagan The shape annealig algorithm is used to generate network topologies for flow systems. Shape annealing combines the concepts of shape grammars and the stochastic optimization technique of simulated annealing to produce optimally directed design configurations. Applications of the shape annealing algorithm to network flow problems include piece layout, structural topology generation (such as trusses), and land use and transportation problems. Application requires a shape grammer that models the characteristics of the design space and evaluation function on the design
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A Shape Annealing Approach to DNA Origami Design
  • 批准号:
    2113301
  • 项目类别:
    Standard Grant
  • 资助金额:
    $90.0万
  • 财政年份:
    2021
  • 负责人:
    Jonathan Cagan
  • 依托单位:
An Integrated Leadership and Innovation Curriculum for Undergraduate Mechanical Engineering
  • 批准号:
    1245360
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2013
  • 负责人:
    Jonathan Cagan
  • 依托单位:
Computational Design of Complex Multi-Scale Systems: Design of Synthetic Muscle with Shape Grammars and Agent-Based Search
  • 批准号:
    1160840
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.49万
  • 财政年份:
    2012
  • 负责人:
    Jonathan Cagan
  • 依托单位:
Determining Consumer Preference Through an Interactive Virtual Reality Experience
  • 批准号:
    1233864
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.5万
  • 财政年份:
    2012
  • 负责人:
    Jonathan Cagan
  • 依托单位:
国内基金
海外基金
Next Generation Majorana Nanowire Hybrids