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📄 ga tipper demo2.txt

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                   List of GA_tipper.m execution result
>>GA_tipper


Your variables are:

ans  

>>>Start this program [GA_tipper] now. Please wait!
S>>S>>>>S>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #1], ===>Best_FIT= 674875.63520909
    parameter( 1)=   1.64121000
    parameter( 2)=   1.51280700
    parameter( 3)=   2.02475600
    parameter( 4)=   3.76740100
    parameter( 5)=  13.61180300
    parameter( 6)=   1.23243900
    parameter( 7)=   1.07551300
    parameter( 8)=   1.07853800
    parameter( 9)=   2.41787600
>>>S>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>S>>>>>>>>>>>>>>
[Generation #2], ===>Best_FIT= 724763.53578681
    parameter( 1)=   1.54264900
    parameter( 2)=   1.51487800
    parameter( 3)=   4.94670000
    parameter( 4)=   8.47167800
    parameter( 5)=   7.02446300
    parameter( 6)=   1.93934000
    parameter( 7)=   1.75927300
    parameter( 8)=   1.11096700
    parameter( 9)=   2.59754100
>>>>>>>>>>>S>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #3], ===>Best_FIT= 729156.24201296
    parameter( 1)=   1.73176300
    parameter( 2)=   1.18827400
    parameter( 3)=   4.75530600
    parameter( 4)=   8.28551700
    parameter( 5)=   6.82999100
    parameter( 6)=   1.97909300
    parameter( 7)=   1.77457400
    parameter( 8)=   1.19756300
    parameter( 9)=   2.94120500
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #4], ===>Best_FIT= 729156.24201296
    parameter( 1)=   1.73176300
    parameter( 2)=   1.18827400
    parameter( 3)=   4.75530600
    parameter( 4)=   8.28551700
    parameter( 5)=   6.82999100
    parameter( 6)=   1.97909300
    parameter( 7)=   1.77457400
    parameter( 8)=   1.19756300
    parameter( 9)=   2.94120500
>>>S>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #5], ===>Best_FIT= 768054.41404172
    parameter( 1)=   1.96902400
    parameter( 2)=   1.12886600
    parameter( 3)=   4.05353100
    parameter( 4)=   4.39525300
    parameter( 5)=   5.77550000
    parameter( 6)=   1.88340700
    parameter( 7)=   1.89202000
    parameter( 8)=   1.04033600
    parameter( 9)=   2.85233700
>>>>>>>>>>>>>>>>>>>>>>>>>>S>>>>>>>>>>>>>>>>>>>>>>>
[Generation #6], ===>Best_FIT= 775587.31697054
    parameter( 1)=   1.82897500
    parameter( 2)=   1.06629500
    parameter( 3)=   2.48790400
    parameter( 4)=   4.74087100
    parameter( 5)=   6.92377200
    parameter( 6)=   1.65637400
    parameter( 7)=   1.87504600
    parameter( 8)=   1.03792000
    parameter( 9)=   2.97866400
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #7], ===>Best_FIT= 775587.31697054
    parameter( 1)=   1.82897500
    parameter( 2)=   1.06629500
    parameter( 3)=   2.48790400
    parameter( 4)=   4.74087100
    parameter( 5)=   6.92377200
    parameter( 6)=   1.65637400
    parameter( 7)=   1.87504600
    parameter( 8)=   1.03792000
    parameter( 9)=   2.97866400
>>>>>>>>>>>>>>>>S>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #23], ===>Best_FIT= 776065.54647023
    parameter( 1)=   1.82636000
    parameter( 2)=   1.06839400
    parameter( 3)=   2.47705100
    parameter( 4)=   4.74743700
    parameter( 5)=   6.68879900
    parameter( 6)=   1.65748700
    parameter( 7)=   1.87541100
    parameter( 8)=   1.03804000
    parameter( 9)=   2.97721900
>>>>>>>>>>>>>>>>>>>>>>>S>>>>>>>>>>>>>>>>>>>>>>>>>>
[Generation #24], ===>Best_FIT= 776156.79583121
    parameter( 1)=   1.82817200
    parameter( 2)=   1.07204000
    parameter( 3)=   2.47735800
    parameter( 4)=   4.74725000
    parameter( 5)=   6.68905600
    parameter( 6)=   1.66146000
    parameter( 7)=   1.87540500
    parameter( 8)=   1.16397800
    parameter( 9)=   2.93040900
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>S>>>>>>>>>>>>>>>>>
[Generation #25], ===>Best_FIT= 786915.54813263
    parameter( 1)=   1.83668200
    parameter( 2)=   1.82985700
    parameter( 3)=   2.55274400
    parameter( 4)=   4.59565200
    parameter( 5)=   6.03668600
    parameter( 6)=   1.65871900
    parameter( 7)=   1.87505400
    parameter( 8)=   1.10052700
    parameter( 9)=   2.94581400
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>S>>>>>>>>>>
[Generation #28], ===>Best_FIT= 787008.90872281
    parameter( 1)=   1.82922600
    parameter( 2)=   1.94857300
    parameter( 3)=   2.42446300
    parameter( 4)=   4.64159200
    parameter( 5)=   6.03642400
    parameter( 6)=   1.66656400
    parameter( 7)=   1.93767100
    parameter( 8)=   1.04582100
    parameter( 9)=   2.94537600
The best generation occured at generation #28.
   x1 =   1.82922600
   x2 =   1.94857300
   x3 =   2.42446300
   x4 =   4.64159200
   x5 =   6.03642400
   x6 =   1.66656400
   x7 =   1.93767100
   x8 =   1.04582100
   x9 =   2.94537600
==>Best fitness for MIN. problem is (12991.09127719)
==>  Computation time is (3.94) minutes.


RESULT =
1.8292    1.9486    2.4245    4.6416    6.0364    2.0000    2.0000    1.0000    3.0000
ans =
         0         0   -0.2457    0.0909
         0         0   -0.2457    0.0909
         0    0.5000   -0.2457    0.0909
         0    1.0000   -0.2457    0.0909
         0    1.5000   -0.2457    0.0909
         0    2.0000   -0.2457    0.0909
         0    2.5000   -0.2457    0.0909
         0    3.0000   -0.2457    0.0909
         0    3.5000   -0.2457    0.0909
         0    4.0000   -0.2457    0.0909
         0    4.5000   -0.2457    0.0909
         0    5.0000   -0.2457    0.0909
         0    5.5000   -0.2457    3.0654
         0    6.0000   -0.2457    9.8561
         0    6.5000    9.0302   12.9783
         0    7.0000   12.8340   14.4751
         0    7.5000   14.5130   14.9914
         0    8.0000   15.0000   15.0000
         0    8.5000   15.0000   15.0000
         0    9.0000   15.0000   15.0000
         0    9.5000   15.0000   15.0000
         0   10.0000   15.0000   15.0000
         0         0   -0.2457    0.0909
    0.1000         0   -0.2242    0.1450
    0.1000    0.5000   -0.2242    0.1450
    0.1000    1.0000   -0.2242    0.1450
    0.1000    1.5000   -0.2242    0.1450
    0.1000    2.0000   -0.2242    0.1450
    0.1000    2.5000   -0.2242    0.1450
    0.1000    3.0000   -0.2242    0.1450
    0.1000    3.5000   -0.2242    0.1450
    0.1000    4.0000   -0.2242    0.1450

    

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