文件名称:SimulatedAnnealing
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
介绍说明－－下载内容均来自于网络，请自行研究使用
本程序是我用于应付智能优化算法而编写的，由于水平有限加之不是计算机专业，程序中还有很多地方不够严谨是情理之中，还请谅解。
求函数极值问题，目标函数：f(y)=sqrt(y[0])+sqrt(y[1])+sqrt(y[2])
约束条件：(y[0]*y[0]+2*y[1]*y[1]+3*y[2]*y[2])<=1-This procedure is what I used to meet intelligent optimization algorithm has been prepared, as the computer is not coupled with the limited level of professional, there are many procedures in place is not precise enough sense, and also requested the understanding. Extremal function for the problem, the objective function: f (y) = sqrt (y [0])+ sqrt (y [1])+ sqrt (y [2]) constraints: (y [0]* y [0]+2* y [1]* y [1]+3* y [2]* y [2]) < = 1
求函数极值问题，目标函数：f(y)=sqrt(y[0])+sqrt(y[1])+sqrt(y[2])
约束条件：(y[0]*y[0]+2*y[1]*y[1]+3*y[2]*y[2])<=1-This procedure is what I used to meet intelligent optimization algorithm has been prepared, as the computer is not coupled with the limited level of professional, there are many procedures in place is not precise enough sense, and also requested the understanding. Extremal function for the problem, the objective function: f (y) = sqrt (y [0])+ sqrt (y [1])+ sqrt (y [2]) constraints: (y [0]* y [0]+2* y [1]* y [1]+3* y [2]* y [2]) < = 1
(系统自动生成,下载前可以参看下载内容)
下载文件列表
模拟退火
........\模拟退火.cpp
........\说明.txt
........\模拟退火.cpp
........\说明.txt