c06.rtf

机械优化设计中的复合型法

                          常用优化方法 ——复合形法   惩罚函数法 
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^ 
                                                                               
一、初始数据
===============================================================================
   设计变量个数     N = 2
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   不等式约束个数  KG = 3       复合形顶点个数      K = 4
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   收敛精度       EPS = 1E-9
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   设计变量初始点 X0:
			X[1]=8
			X[2]=14
  -----------------------------------------------------------------------------
   设计变量下界 BL:
			BL[1]=0
			BL[2]=0
  -----------------------------------------------------------------------------
   设计变量上界 BU:
			BU[1]=9
			BU[2]=9
  -----------------------------------------------------------------------------
   初始点目标函数值 F(X0)= 265
  -----------------------------------------------------------------------------
   初始点处的不等约束函数值 G(X0):
				GX[1]= -1.960000E+02
				GX[2]= -4.000000E+00
				GX[3]= -2.000000E+00
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二、计算过程__数据
===============================================================================
   设计变量迭代点 X:                         复合形迭代次数  ITE = 1
			X[1]= 5.062032E+00
			X[2]= 7.310162E+00
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   目标函数值 F(X)= 6.8699451997158
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 10
			X[1]= 6.152981E+00
			X[2]= 5.627229E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 1.88519594978608
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 20
			X[1]= 5.331195E+00
			X[2]= 6.049804E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.119612116880463
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 30
			X[1]= 5.234375E+00
			X[2]= 6.050620E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0651809397355566
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 40
			X[1]= 5.222193E+00
			X[2]= 6.060738E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0641262676621468
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 50
			X[1]= 5.221947E+00
			X[2]= 6.060648E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0639728731248149
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 60
			X[1]= 5.218937E+00
			X[2]= 6.063230E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0639256175318872
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 70
			X[1]= 5.218718E+00
			X[2]= 6.063415E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0639236286938969
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 80
			X[1]= 5.218740E+00
			X[2]= 6.063395E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0639226528516316
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 90
			X[1]= 5.218670E+00
			X[2]= 6.063455E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0639225916519655
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 100
			X[1]= 5.218635E+00
			X[2]= 6.063485E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 0.0639225781806839
  -----------------------------------------------------------------------------
                                                                               
三、优化结果__数据
===============================================================================
   复合形迭代次数   ITE = 108     目标函数计算次数     IFX = 246
  -----------------------------------------------------------------------------
   设计变量最优点 X*:
			X[1]= 5.218612E+00
			X[2]= 6.063505E+00
  -----------------------------------------------------------------------------
   最优值 F(X*)= 0.0639225757086313
  -----------------------------------------------------------------------------
   最优点处的不等约束函数值 G(X*):
				GX[1]= -1.118554E-08
				GX[2]= -9.155107E+00
				GX[3]= -4.781388E+00
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--- STOP ---