c05.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
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   设计变量个数     N = 2
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   不等式约束个数  KG = 2       复合形顶点个数      K = 3
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   收敛精度       EPS = 1E-8
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   设计变量初始点 X0:
			X[1]=-2
			X[2]=2
  -----------------------------------------------------------------------------
   设计变量下界 BL:
			BL[1]=0
			BL[2]=0
  -----------------------------------------------------------------------------
   设计变量上界 BU:
			BU[1]=3
			BU[2]=3
  -----------------------------------------------------------------------------
   初始点目标函数值 F(X0)= 6
  -----------------------------------------------------------------------------
   初始点处的不等约束函数值 G(X0):
				GX[1]= -1.000000E+00
				GX[2]= -1.000000E+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]= -8.266767E-01
			X[2]= 1.736245E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= 2.41963982237599
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 10
			X[1]= 8.773275E-01
			X[2]= -1.198718E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -0.429014541841485
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 20
			X[1]= 6.902871E-02
			X[2]= -2.984672E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -2.97990662488539
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 30
			X[1]= -1.213063E-02
			X[2]= -2.998981E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -2.99883358729826
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 40
			X[1]= -6.964258E-04
			X[2]= -2.999998E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -2.99999752573866
  -----------------------------------------------------------------------------
   设计变量迭代点 X:                         复合形迭代次数  ITE = 50
			X[1]= 1.272819E-04
			X[2]= -3.000000E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -2.99999996914542
  -----------------------------------------------------------------------------
                                                                               
三、优化结果__数据
===============================================================================
   复合形迭代次数   ITE = 54     目标函数计算次数     IFX = 120
  -----------------------------------------------------------------------------
   设计变量最优点 X*:
			X[1]= -3.339274E-05
			X[2]= -3.000000E+00
  -----------------------------------------------------------------------------
   最优值 F(X*)= -2.99999999844627
  -----------------------------------------------------------------------------
   最优点处的不等约束函数值 G(X*):
				GX[1]= -1.516825E-09
				GX[2]= -4.000033E+00
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--- STOP ---