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 = 2       復合形頂點個數      K = 3
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   收斂精度       EPS = 1E-8
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   設計變量初始點 X0:
			X[1]=-2
			X[2]=2
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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]=3
			BU[2]=3
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   初始點目標函數值 F(X0)= 6
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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
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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]= -8.266767E-01
			X[2]= 1.736245E+00
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   目標函數值 F(X)= 2.41963982237599
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 10
			X[1]= 8.773275E-01
			X[2]= -1.198718E+00
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   目標函數值 F(X)= -0.429014541841485
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 20
			X[1]= 6.902871E-02
			X[2]= -2.984672E+00
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   目標函數值 F(X)= -2.97990662488539
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 30
			X[1]= -1.213063E-02
			X[2]= -2.998981E+00
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   目標函數值 F(X)= -2.99883358729826
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 40
			X[1]= -6.964258E-04
			X[2]= -2.999998E+00
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   目標函數值 F(X)= -2.99999752573866
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   設計變量迭代點 X:                         復合形迭代次數  ITE = 50
			X[1]= 1.272819E-04
			X[2]= -3.000000E+00
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   目標函數值 F(X)= -2.99999996914542
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三、優化結果__數據
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   復合形迭代次數   ITE = 54     目標函數計算次數     IFX = 120
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   設計變量最優點 X*:
			X[1]= -3.339274E-05
			X[2]= -3.000000E+00
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   最優值 F(X*)= -2.99999999844627
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   最優點處的不等約束函數值 G(X*):
				GX[1]= -1.516825E-09
				GX[2]= -4.000033E+00
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