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空间布局的约束图方法
引用本文:王英林,吴慧中.空间布局的约束图方法[J].软件学报,1998,9(3):200-205.
作者姓名:王英林  吴慧中
作者单位:南京理工大学计算机系,南京,210094
基金项目:本文研究得到国家自然科学基金资助.
摘    要:空间布局的自动化是智能CAD领域的研究方向之一,旨在为设计师提供智能辅助工具,用于求解在建筑、厂房设备、大规模集成电路以及产品包装等等若干领域出现的布局问题.图论方法是空间布局研究的主要途径之一.以往的布局模型由于难以充分表达知识与约束,使得设计过程与结果难以控制.本文提出一种可应用于2D及3D布局的规范约束图及层次约束图模型,给出了约束图解的存在条件.该模型可以表示精细的布局知识与约束,在一定程度上克服了以往图模型不能充分表达布局知识与约束的不足.本文还给出了基于约束图的布局生成算法.

关 键 词:计算机设计自动化  人工智能  布局.
收稿时间:1/3/1997 12:00:00 AM
修稿时间:1997/4/28 0:00:00

The Method of Constraint Graphs Used in Spatial Layout
WANG Ying-lin and WU Hui-zhong.The Method of Constraint Graphs Used in Spatial Layout[J].Journal of Software,1998,9(3):200-205.
Authors:WANG Ying-lin and WU Hui-zhong
Affiliation:Department of Computer Science\ Nanjing University of Science and Technology\ Nanjing\ 210094
Abstract:Spatial layout automation is one of the research directions in intelligent CAD domain. The aim is to provide tools for designers to solve the layout problems emerged in building planning, facility planning, VLSI floor planning, product packaging and such like the fields. Human designers can interact with the tools and find some new creative solutions. The graph theoretic method is one of the main approaches in the research of spatial layout. One of the difficulties in layout design is the representation of layout knowledge and constraints. Former layout models can not fully represent layout knowledge and constraints. The drawbacks of former models lead the design process uncontrolled. This paper represents a normal-constraint-graph model and a hierarchical-constraint-graph model that can be used in 2D or 3D layout design. The two models combined can be used to represent the detailed knowledge and constraints in layout design. Thus, it can overcome the drawbacks of the former layout models. In this paper the condition of the existence of the solution of normal and hierarchical constraint graphs is discussed and the layout-plan-generation method based on the normal and hierarchical constraint graphs is given.
Keywords:Computer aided design  artificial intelligence  layout  
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