c01.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
  -----------------------------------------------------------------------------
   不等式约束个数  KG = 3       复合形顶点个数      K = 4
  -----------------------------------------------------------------------------
   收敛精度       EPS = 1E-6
  -----------------------------------------------------------------------------
   设计变量初始点 X0:
			X[1]=4
			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]=5
			BU[2]=5
  -----------------------------------------------------------------------------
   初始点目标函数值 F(X0)= 0
  -----------------------------------------------------------------------------
   初始点处的不等约束函数值 G(X0):
				GX[1]= -5.000000E+00
				GX[2]= -4.000000E+00
				GX[3]= -2.000000E+00
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二、计算过程__数据
===============================================================================
   复合形迭代次数   ITE = 1
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 2.982282E-01
			X[2]= 1.491141E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -13.0305887609672
  -----------------------------------------------------------------------------
   复合形迭代次数   ITE = 10
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 1.638700E-01
			X[2]= 4.182768E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -28.8400706345012
  -----------------------------------------------------------------------------
   复合形迭代次数   ITE = 20
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 1.254970E-01
			X[2]= 4.994842E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -36.4464603668613
  -----------------------------------------------------------------------------
   复合形迭代次数   ITE = 30
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 2.722049E-04
			X[2]= 4.998387E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -36.982782443495
  -----------------------------------------------------------------------------
   复合形迭代次数   ITE = 40
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 4.773405E-04
			X[2]= 4.999972E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -36.9978139985268
  -----------------------------------------------------------------------------
   复合形迭代次数   ITE = 50
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 2.451233E-05
			X[2]= 4.999991E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -36.9998126193016
  -----------------------------------------------------------------------------
   复合形迭代次数   ITE = 60
  -----------------------------------------------------------------------------
   设计变量迭代点 X:
			X[1]= 3.076680E-07
			X[2]= 5.000000E+00
  -----------------------------------------------------------------------------
   目标函数值 F(X)= -36.9999944112317
  -----------------------------------------------------------------------------
                                                                               
三、优化结果__数据
===============================================================================
   复合形迭代次数   ITE = 65     目标函数计算次数     IFX = 136
  -----------------------------------------------------------------------------
   设计变量最优点 X*:
			X[1]= 4.971035E-07
			X[2]= 5.000000E+00
  -----------------------------------------------------------------------------
   最优值 F(X*)= -36.9999973341055
  -----------------------------------------------------------------------------
   最优点处的不等约束函数值 G(X*):
				GX[1]= -6.774801E-07
				GX[2]= -4.971035E-07
				GX[3]= -5.000000E+00
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--- STOP ---