r07.rtf
来自「机械优化设计中的约束随机法」· RTF 代码 · 共 189 行
RTF
189 行
常用优化方法 ——约束随机法
^^^^^^^^^^^^^^^^^^^^^^^^^^^
一、初始数据
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设计变量个数 N = 6 不等式约束个数 KG = 4
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随机方向个数 NSR = 9
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初始步长 T0 = 0.01 收敛精度 EPS = 1E-8
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设计变量初始点 X0:
X[1]=1
X[2]=1
X[3]=1
X[4]=3
X[5]=1
X[6]=5
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设计变量下界 BL:
BL[1]=0
BL[2]=0
BL[3]=0
BL[4]=2
BL[5]=0
BL[6]=4
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设计变量上界 BU:
BU[1]=3
BU[2]=3
BU[3]=3
BU[4]=4
BU[5]=5
BU[6]=8
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初始点目标函数值 F(X0)= 20
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初始点处的不等约束函数值 G(X0):
GX[1]= -2.000000E+00
GX[2]= 0.000000E+00
GX[3]= -3.000000E+00
GX[4]= -1.000000E+00
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二、计算过程__数据
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设计变量迭代点 X: 迭代次数 ITE = 1
X[1]= 9.605660E-01
X[2]= 4.837034E-01
X[3]= 1.120372E+00
X[4]= 2.845487E+00
X[5]= 4.049043E-01
X[6]= 5.897537E+00
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目标函数值 F(X)= 18.1277256747992
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设计变量迭代点 X: 迭代次数 ITE = 10
X[1]= 1.012131E+00
X[2]= 7.798758E-01
X[3]= 1.834705E+00
X[4]= 2.053152E+00
X[5]= -3.087743E-01
X[6]= 4.546105E+00
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目标函数值 F(X)= 9.58630923465405
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设计变量迭代点 X: 迭代次数 ITE = 20
X[1]= 1.339755E+00
X[2]= 9.154483E-02
X[3]= 1.781180E+00
X[4]= 2.006745E+00
X[5]= 3.693879E-02
X[6]= 4.012212E+00
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目标函数值 F(X)= 5.36659456506737
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设计变量迭代点 X: 迭代次数 ITE = 30
X[1]= 1.272797E+00
X[2]= 1.123883E-01
X[3]= 1.834412E+00
X[4]= 2.008497E+00
X[5]= 4.543631E-02
X[6]= 4.001257E+00
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目标函数值 F(X)= 5.24095521746562
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设计变量迭代点 X: 迭代次数 ITE = 40
X[1]= 1.234895E+00
X[2]= 1.102750E-01
X[3]= 1.860120E+00
X[4]= 2.004043E+00
X[5]= 7.726112E-02
X[6]= 4.000238E+00
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目标函数值 F(X)= 5.17278462727135
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设计变量迭代点 X: 迭代次数 ITE = 50
X[1]= 1.218717E+00
X[2]= 1.012679E-01
X[3]= 1.871910E+00
X[4]= 2.003982E+00
X[5]= 7.757649E-02
X[6]= 4.000260E+00
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目标函数值 F(X)= 5.1470811959209
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设计变量迭代点 X: 迭代次数 ITE = 60
X[1]= 1.215190E+00
X[2]= 9.908613E-02
X[3]= 1.874430E+00
X[4]= 2.002878E+00
X[5]= 7.536999E-02
X[6]= 4.000007E+00
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目标函数值 F(X)= 5.13905965289419
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设计变量迭代点 X: 迭代次数 ITE = 70
X[1]= 1.182760E+00
X[2]= 9.192124E-02
X[3]= 1.895395E+00
X[4]= 2.005391E+00
X[5]= 1.000195E-01
X[6]= 4.000008E+00
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目标函数值 F(X)= 5.10593099131863
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设计变量迭代点 X: 迭代次数 ITE = 80
X[1]= 1.181372E+00
X[2]= 9.186046E-02
X[3]= 1.896292E+00
X[4]= 2.005144E+00
X[5]= 1.013012E-01
X[6]= 4.000000E+00
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目标函数值 F(X)= 5.1042789882564
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设计变量迭代点 X: 迭代次数 ITE = 90
X[1]= 1.160648E+00
X[2]= 8.985455E-02
X[3]= 1.909132E+00
X[4]= 2.007237E+00
X[5]= 1.176463E-01
X[6]= 4.000062E+00
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目标函数值 F(X)= 5.08947639087153
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设计变量迭代点 X: 迭代次数 ITE = 100
X[1]= 1.159097E+00
X[2]= 9.015023E-02
X[3]= 1.910056E+00
X[4]= 2.007003E+00
X[5]= 1.180826E-01
X[6]= 4.000011E+00
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目标函数值 F(X)= 5.08763962401757
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设计变量迭代点 X: 迭代次数 ITE = 110
X[1]= 1.159006E+00
X[2]= 9.008702E-02
X[3]= 1.910128E+00
X[4]= 2.006972E+00
X[5]= 1.178716E-01
X[6]= 4.000000E+00
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目标函数值 F(X)= 5.08738271042698
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三、优化结果__数据
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迭代次数 ITE = 115 目标函数计算次数 IFX = 35029
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设计变量最优点 X*:
X[1]= 1.159005E+00
X[2]= 9.008703E-02
X[3]= 1.910129E+00
X[4]= 2.006971E+00
X[5]= 1.178704E-01
X[6]= 4.000000E+00
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最优值 F(X*)= 5.08738010749018
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最优点处的不等约束函数值 G(X*):
GX[1]= -2.787318E-08
GX[2]= -8.694013E-08
GX[3]= -4.000000E+00
GX[4]= -1.219229E-10
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--- STOP ---
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