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基于多目标遗传算法的高层建筑概念设计优化
引用本文:吴子燕,张智,胡秦.基于多目标遗传算法的高层建筑概念设计优化[J].系统工程理论与实践,2005,25(10):120-124.
作者姓名:吴子燕  张智  胡秦
作者单位:西北工业大学力学与土木建筑学院,陕西,西安,710072
基金项目:西北工业大学博士论文创新基金(CX200310)
摘    要:在高层建筑方案概念设计阶段,同时考虑了建筑、结构、设备等多种因素,并运用多目标遗传算法及MATLAB编程,对高层建筑概念设计进行优化.算法中的随机变权重因子可以更好地体现不同决策的侧重倾向,从而更好地符合实际需要.以高层办公建筑为例,提出了具体的方法和实施步骤,所得结果可为工程设计人员提供有益的借鉴.

关 键 词:多目标遗传算法  高层建筑  概念设计
文章编号:1000-6788(2005)10-0120-05
修稿时间:2004年10月14

The Optimization for Conceptual Design of High-rise Buildings Based on Multi-objective Genetic Algorithm
WU Zi-yan,ZHANG Zhi,HU Qin.The Optimization for Conceptual Design of High-rise Buildings Based on Multi-objective Genetic Algorithm[J].Systems Engineering —Theory & Practice,2005,25(10):120-124.
Authors:WU Zi-yan  ZHANG Zhi  HU Qin
Abstract:This paper optimizes the conceptual design of high-rise buildings by using multi-criterion function Genetic Algorithms and MATLAB.On the building scheme phase of conceptual design,it considers many kinds of factors synchronously,such as architecture,structure,equipment,etc.The random weighted factors for individual objective can meet different actual requirements.This paper points out the idiographic method and implementary approach;meanwhile,a high-rise office building example.The results can offer the relative engineers a good use for reference.
Keywords:multicriterion function genetic algorithms  high-rise buildings  conceptual design
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