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📄 xxx.dat

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字号:

Your variables are:

ans  

>>>Start this program [GA_psch] now. Please wait!

ans =

    2.1900    2.1262    0.5650

>
Emin=39470.649089
Emin=25260.201937>>>>>>>>>>>>>>>>>
[Generation #1], ===>Best_FIT= 19739.79806342
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17217700
    parameter( 3)=   0.18551200
    parameter( 4)=   2.27852000
    parameter( 5)=   1.42816800
    parameter( 6)=   2.96401800
    parameter( 7)=   0.41287300
    parameter( 8)=   0.46933000
    parameter( 9)=   0.49704300
    parameter(10)=   1.83801600
    parameter(11)=   2.23206400
    parameter(12)=   1.39096400
    parameter(13)=   0.15218800
    parameter(14)=   0.44988000
    parameter(15)=   0.43439500
    parameter(16)=   2.59828400
    parameter(17)=   1.53776400
    parameter(18)=   1.09211500

Emin=25260.201937>>>>>>>
Emin=23651.424233>>>>>>>>>>>
[Generation #2], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #3], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #4], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #5], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #6], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #7], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #8], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #9], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #10], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #11], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000

Emin=23651.424233>>>>>>>>>>>>>>>>>>>
[Generation #12], ===>Best_FIT= 21348.57576743
    parameter( 1)=   0.34231700
    parameter( 2)=   0.17220100
    parameter( 3)=   0.18476100
    parameter( 4)=   1.77855300
    parameter( 5)=   1.42817300
    parameter( 6)=   2.95626600
    parameter( 7)=   0.43787200
    parameter( 8)=   0.27030600
    parameter( 9)=   0.19894700
    parameter(10)=   1.77554600
    parameter(11)=   2.63835200
    parameter(12)=   2.45358500
    parameter(13)=   0.15072300
    parameter(14)=   0.29949300
    parameter(15)=   0.20627000
    parameter(16)=   2.72353400
    parameter(17)=   1.53782500
    parameter(18)=   1.02326000
The best generation occured at generation #2.
   x1 =   0.34231700
   x2 =   0.17220100
   x3 =   0.18476100
   x4 =   1.77855300
   x5 =   1.42817300
   x6 =   2.95626600
   x7 =   0.43787200
   x8 =   0.27030600
   x9 =   0.19894700
   x10 =   1.77554600
   x11 =   2.63835200
   x12 =   2.45358500
   x13 =   0.15072300
   x14 =   0.29949300
   x15 =   0.20627000
   x16 =   2.72353400
   x17 =   1.53782500
   x18 =   1.02326000
==>Best fitness for MIN. problem is (23651.42423257)
==>  Computation time is (9.99) minutes.


Emin=23651.424233
PID error=
  3.0973e+004


ans =

1. If (ek is small) then (ps is average) (1)
2. If (ek is medium) then (ps is small) (1) 
3. If (ek is large) then (ps is large) (1)  


ans =

1. If (ek is small) then (is is average) (1)
2. If (ek is medium) then (is is large) (1) 
3. If (ek is large) then (is is average) (1)


ans =

1. If (ek is small) then (ds is large) (1)   
2. If (ek is medium) then (ds is average) (1)
3. If (ek is large) then (ds is small) (1)   

See the log file---xxx.dat for more detail

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