山东科技大学学士学位论文
摘 要
多学科设计优化 ( MDO ) 于 20世纪 80年代作为一个新的研究领域诞生，其主要是对相互影响、相互作用的子系统组成的复杂工程系统进行设计，以使系统的综合性能达到最优的一种设计方法 。它是算法研究的一个重要应用领域 。在设计优化的过程中，算法选取的好坏直接关系到优化过程的效率和优化结果的准确性 。
本文对多学科设计优化领域中涉及的几种智能优化算法的特点进行了总结。在此基础上提出了时间、精度、解决问题的个数等几个比较指标，首次将精度作为比较指标，并且创新性地提出一个针对工程问题的有效比较指标，即短时寻优能力。
首选，对多学科优化机设体系进行了系统的分析研究，了解和阅读了iSIGHT方面的有关外文资料，熟悉了iSIGHT应用背景、各部分功能、iSIGHT的优化技术、策略的及掌握iSIGHT的使用。
接着，利用iSIGHT软件进行案例运行得出数据。对数据结果进行分析，
画出坐标图。
最后，利用所学的知识得出比较结果。
关键词：智能算法；多学科设计优化；iSIGHT
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山东科技大学学士学位论文
Abstract
Multidisciplinary design optimization (MDO) was born as a new research area in 1980s. It is mainly to the mutual influence， the interaction between subsystems of complex engineering system design， in order to make the system synthesis performance optimum design method. It is one of the important algorithms application fields. In the process of design optimization，algorithm is directly related to select optimal process efficiency and accuracy of the optimization results.
This paper summarized characteristics of several intelligent algorithms concerned with multidisciplinary design optimization， and on the basis， put forward several criteria such as time， precision， numbers of problems settled. It was the first time to use the precision as criterion of comparison. This paper originally introduced short-time optimizing capacity to aim at engineering problems. It received a series of instructional conclusions by running the cases selected. The cell phone example validates correctness of these conclusions.
Firstly，Do research work on multidisciplinary design optimization technology by the system，realize and read relevant foreign text date about iSIGHT. Acquaint with the technique and strategy of iSIGHT etc，and master iSIGHT.
Secondly，using an iSIGHT software， it is concluded that the operation data，The results of data analysis and drawing coordinates figure.
Finally，draw comparison results by using of learning knowledge.
Keywords: intelligent algorithms； multidisciplinary design optimization
( MDO ) ；iSIGHT
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山东科技大学学士学位论文
目 录
摘 要 .................................................................................................... 1 Abstract ............................................................................................... 2 1
1.1 1.2 1.3
绪 论 ...................................................................................... 5
研究的目的及意义 ......................................................................... 5 国内外研究的现状 ......................................................................... 7 本文的研究内容 ............................................................................. 9
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2.1
多学科设计优化概述与iSIGHT简介 ................................. 10
多学科设计优化概述 ..................................................................... 10
2.1.1 多学科设计优化的定义 .............................................................................. 10 2.1.2 MDO问题的表述 ......................................................................................... 10
2.2 iSIGHT软件的介绍 ....................................................................... 12
2.2.1 iSIGHT软件简介 ......................................................................................... 12 2.2.2 iSIGHT图形用户界面 ................................................................................. 12
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3.1
智能算法比较 ........................................................................ 16
遗传算法 ......................................................................................... 16
3.1.1 遗传算法基本概念 ...................................................................................... 16 3.1.2 遗传算法定义 .............................................................................................. 17 3.1.3 遗传算法的特征 .......................................................................................... 17 3.1.4 遗传算法的应用 .......................................................................................... 19
3.2 模拟退火算法 ................................................................................. 19
3.2.1 模拟退火的算法简介 .................................................................................. 19 3.2.2 模拟退火的理论基础 .................................................................................. 20 3.2.3 模拟退火的实现 .......................................................................................... 20
3.3 3.4
智能算法特点 ................................................................................. 21 算法选择模型 ................................................................................. 22
3.4.1 算法比较指标的确定 .................................................................................. 22 3.4.2 算法比较模型 .............................................................................................. 24
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山东科技大学学士学位论文
3.4.3 案例的选择 .................................................................................................. 25 3.4.4 数据收集和整理 .......................................................................................... 26 3.4.5 模型建立 ...................................................................................................... 32
总 结 .................................................................................................. 36 参考文献 ............................................................................................ 37 致 谢 .................................................................................................. 38 附录一 运行结果数据 ...................................................................... 39 附录二 相对时间 .............................................................................. 42 附录三 相对精度 .............................................................................. 44 附录四 翻译和英文原文 .................................................................. 46
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