畢業(yè)設(shè)計(jì) 齒輪傳動(dòng)優(yōu)化設(shè)計(jì)的遺傳算法研究

摘要

 優(yōu)化設(shè)計(jì)的方法有多種，一般的就只是單純的計(jì)算，運(yùn)用數(shù)學(xué)方程式對(duì)彈簧的各個(gè)參數(shù)加以優(yōu)化，后來人們有了更多更新的方法對(duì)其進(jìn)行優(yōu)化，例如，蟻群算法、Matlab、遺傳算法等等。在不同的機(jī)構(gòu)或零件優(yōu)化設(shè)計(jì)中，參數(shù)的性質(zhì)也對(duì)優(yōu)化設(shè)計(jì)有著至關(guān)重大的影響。其中變量參數(shù)有些是實(shí)數(shù)，還有些是整數(shù)，這就影響了在設(shè)計(jì)中用到的變量有著不同的選擇，可以是實(shí)數(shù)變量或者整數(shù)變量甚至是混合變量。此次論文對(duì)壓縮彈簧進(jìn)行優(yōu)化設(shè)計(jì)。首先,要確定目標(biāo)函數(shù)與設(shè)計(jì)變量；其次，確定約束函數(shù)；最后，建立數(shù)學(xué)模型，利用計(jì)算機(jī)求出優(yōu)化結(jié)果。此次設(shè)計(jì)運(yùn)用了vb編程，并且根據(jù)彈簧參數(shù)特性運(yùn)用了實(shí)數(shù)變量進(jìn)行優(yōu)化設(shè)計(jì)。與經(jīng)驗(yàn)設(shè)計(jì)方法相比較，采用優(yōu)化設(shè)計(jì)方法可節(jié)約原材料，并且有效實(shí)用。因此，優(yōu)化設(shè)計(jì)方法在機(jī)械設(shè)計(jì)行業(yè)具有廣闊的發(fā)展前景。
關(guān)鍵詞：壓縮彈簧；優(yōu)化設(shè)計(jì)；遺傳算法；整數(shù)變量；VB編程

Abstract
There are many optimization design methods ,which are generally to optimize all the parameters of a spring by using the pure caculation and mathematic equation and there are more and newer methods to do it such as Matlab genetic algorithm and so on since then . In the optimization design of the various machinery and components ,the character of the parameter takes a great effect on the design .There are some real number ,some integer of all the variable parameters ,which decide the choice of the parameters used including real variable or integeral variable and even mixed variable in the design The paper dissertates the optimation design of the compressing sping.First,ascertain the object function and the design variable ;Second ,ascertain the restriction function ;At last ,build the mathematic model and get the optimation result by computer.The author does the optimation design by utilizing the VB weave and by utilizing the real variable accoding to the character of the variable of the sping. Compared with the experiential design ,using the optimization design can cut down the cost and is efficient and practical.So the optimization design owns the wide view in the machining design .
Key words : compressing spring ; optimization design ; genetic algorithm ;integeral variable  ; VB weave.

目錄
摘要 I
ABSTRACT II
目錄 III
第1章  緒論 1
1.1 課題研究的背景和意義及其研究現(xiàn)狀 1
1.2 論文主要研究?jī)?nèi)容 3
第2章  遺傳算法的原理及改進(jìn) 4
2.1 遺傳算法概述 4
2.2 算法的基本步驟 5
2.3 遺傳算法的基本要點(diǎn) 7
2.4 遺傳算法的約束問題處理方式 11
2.5 遺傳算法的發(fā)展前景 13
第3章  傳動(dòng)優(yōu)化數(shù)學(xué)模型的建立 15
3.1 彈簧相關(guān)參數(shù)的選擇確定……………………………………………………………… 
3.2 彈簧優(yōu)化設(shè)計(jì)數(shù)學(xué)模型的建立………………………………………………………… 
第4章  齒輪傳動(dòng)優(yōu)化設(shè)計(jì)的遺傳算法實(shí)現(xiàn)方法 21
4.1 設(shè)計(jì)變量的編碼 21
4.2 群體規(guī)模的選擇 23
4.3 初始解的產(chǎn)生 23
4.4 目標(biāo)函數(shù)和適應(yīng)函數(shù)的產(chǎn)生 24
4.5 選擇復(fù)制操作 26
4.6 交叉操作 27
4.7 變異運(yùn)算 28
4.8 終止規(guī)則 31
4.9 優(yōu)化算例 31
4.10 優(yōu)化設(shè)計(jì)程序代碼 31
結(jié)論 44
參考文獻(xiàn) 45
致謝 47
附錄1  英文參考資料
附錄2  英文參考資料的中文翻譯