文件名称:SimulatedAnnealing
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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
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........\模拟退火.cpp
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