改進粒子群算法的分析與其云計算資源調(diào)度的應(yīng)用

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1、江西理工大學(xué)碩士學(xué)位論文目錄目錄摘要...............................................................................................................................IAbstract............................................................................................................................II第一章

2、緒論.......................................................................................................................11.1研究背景和意義.....................................................................................................11.2國內(nèi)外研究現(xiàn)狀.......................................

3、..............................................................31.3本文結(jié)構(gòu)安排.........................................................................................................4第二章云計算資源調(diào)度概述.............................................................................................

4、.62.1網(wǎng)格計算資源調(diào)度策略..........................................................................................62.2云供應(yīng)策略.............................................................................................................82.3云計算資源調(diào)度策略...............................................

5、...............................................82.4資源調(diào)度的性能評價標準....................................................................................102.5云計算負載均衡...................................................................................................10第三章標準粒子群優(yōu)化算法PSO.........

6、............................................................................123.1粒子群算法的基本原理........................................................................................123.2粒子群算法的數(shù)學(xué)描述........................................................................................1

7、23.3粒子群算法的發(fā)展................................................................................................133.4粒子群算法的基本流程........................................................................................143.5粒子群算法的應(yīng)用...........................................................

8、...................