求解機會約束規(guī)劃中P-模型的免疫優(yōu)化算法及其應(yīng)用.pdf

1、分類號:TP301.6密級:公開論文編號:2013020994貴州大學(xué)2016屆碩士研究生學(xué)位論文求解機會約束規(guī)劃中P模型的免疫優(yōu)化算法及其應(yīng)用學(xué)科專業(yè):計算數(shù)學(xué)研究方向:智能處理及應(yīng)用導(dǎo)師:張著洪教授研究生:張仁崇中國貴州貴陽2016年5月目錄中文摘要中文摘要.........................................................................................

2、.................................................IAbstract...........................................................................................................................................II第一章第一章緒論緒論...........

3、.........................................................................................................................11.1研究背景...........................................................................................

4、................................11.2研究目的及意義...............................................................................................................11.3求解機會約束規(guī)劃的智能優(yōu)化研究進展.............................................

5、..........................21.3.1機會約束處理........................................................................................................21.3.2智能優(yōu)化求解EC模型..............................................................

6、..........................31.3.3智能優(yōu)化求解P模型..........................................................................................41.4內(nèi)容結(jié)構(gòu)安排...............................................................................

7、....................................51.5本章小結(jié)...........................................................................................................................6第二章第二章免疫學(xué)基本理論與基本免疫優(yōu)免疫學(xué)基本理論與基本免疫優(yōu)化算法化算法..............

8、...............................................................72.1免疫學(xué)基本理論...............................................................................................................72.1.1免疫學(xué)基本概念......................

9、.............................................................................72.1.2免疫學(xué)基本原理...................................................................................................82.2危險理論.......................

10、....................................................................................................82.3基本免疫優(yōu)化算法...........................................................................................................9

11、2.4本章小結(jié).........................................................................................................................10第三章第三章非約束單目標概率優(yōu)化的微種群免疫優(yōu)化算法非約束單目標概率優(yōu)化的微種群免疫優(yōu)化算法............................................

12、...............113.1問題描述.........................................................................................................................113.2算法原理..................................................................

13、.......................................................113.3算法描述.........................................................................................................................123.4計算復(fù)雜度分析.......................

14、......................................................................................133.5數(shù)值實驗.........................................................................................................................143.

15、6本章小結(jié).........................................................................................................................20第四章第四章單目標概率約束優(yōu)化的微種群免疫優(yōu)化算法單目標概率約束優(yōu)化的微種群免疫優(yōu)化算法................................................

16、...............214.1問題描述.........................................................................................................................214.2算法原理..................................................................

17、.......................................................224.3算法描述.........................................................................................................................224.4計算復(fù)雜度分析.......................

18、......................................................................................244.5數(shù)值實驗.........................................................................................................................254.

19、6本章小結(jié).........................................................................................................................30第五章第五章多目標概率約束免疫優(yōu)化算法多目標概率約束免疫優(yōu)化算法............................................................

20、...........................315.1問題描述.........................................................................................................................315.2算法原理......................................................

21、...................................................................315.3算法描述.........................................................................................................................325.4計算復(fù)雜度分析...........

22、..................................................................................................335.5評價準則.................................................................................................................

23、........345.6數(shù)值實驗.........................................................................................................................345.7本章小結(jié).........................................................................