常用優化方法 ——復合形法   懲罰函數法 
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^ 
                                                                               
一、初始數據
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   設計變量個數     N = 2
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   不等式約束個數  KG = 5       復合形頂點個數      K = 3
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   收斂精度       EPS = 1E-9
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   設計變量初始點 X0:
			X[1]=1
			X[2]=1
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   設計變量下界 BL:
			BL[1]=0
			BL[2]=0
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   設計變量上界 BU:
			BU[1]=6
			BU[2]=8
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   初始點目標函數值 F(X0)= 47
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   初始點處的不等約束函數值 G(X0):
				GX[1]= -1.000000E+00
				GX[2]= -1.000000E+00
				GX[3]= -5.000000E+00
				GX[4]= -7.000000E+00
				GX[5]= -9.000000E+00
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二、計算過程__數據
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 1
			X[1]= 4.289308E+00
			X[2]= 4.595386E+00
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   目標函數值 F(X)= 18.5300862761282
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 10
			X[1]= 5.994799E+00
			X[2]= 4.931228E+00
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   目標函數值 F(X)= 11.0200024131368
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 20
			X[1]= 5.999978E+00
			X[2]= 4.997902E+00
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   目標函數值 F(X)= 11.0000712817322
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 30
			X[1]= 6.000000E+00
			X[2]= 4.998021E+00
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   目標函數值 F(X)= 11.0000040504114
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 40
			X[1]= 6.000000E+00
			X[2]= 4.999592E+00
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   目標函數值 F(X)= 11.0000004914109
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 50
			X[1]= 6.000000E+00
			X[2]= 4.999813E+00
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   目標函數值 F(X)= 11.0000001242239
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 60
			X[1]= 6.000000E+00
			X[2]= 4.999970E+00
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   目標函數值 F(X)= 11.0000000022258
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三、優化結果__數據
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   復合形迭代次數   ITE = 62     目標函數計算次數     IFX = 131
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   設計變量最優點 X*:
			X[1]= 6.000000E+00
			X[2]= 4.999972E+00
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   最優值 F(X*)= 11.0000000013114
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   最優點處的不等約束函數值 G(X*):
				GX[1]= -6.000000E+00
				GX[2]= -4.999972E+00
				GX[3]= -1.743796E-10
				GX[4]= -3.000028E+00
				GX[5]= -2.807652E-05
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--- STOP ---