常用優化方法 ——約束隨機法
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                                                                               
一、初始數據
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   設計變量個數     N = 2           不等式約束個數  KG = 2
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   隨機方向個數   NSR = 4
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   初始步長        T0 = 0.01          收斂精度     EPS = 1E-7
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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:                           迭代次數  ITE = 1
			X[1]= -1.993724E+00
			X[2]= 2.005120E+00
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   目標函數值 F(X)= 4.83788667823616
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   設計變量迭代點 X:                           迭代次數  ITE = 10
			X[1]= 6.577216E-02
			X[2]= -2.998339E+00
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   目標函數值 F(X)= -2.99407932318374
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三、優化結果__數據
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   迭代次數   ITE = 14         目標函數計算次數     IFX = 1446
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   設計變量最優點 X*:
			X[1]= 4.844046E-05
			X[2]= -3.000000E+00
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   最優值 F(X*)= -2.99999999702446
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   最優點處的不等約束函數值 G(X*):
				GX[1]= -1.431669E-09
				GX[2]= -3.999952E+00
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