l=3,n=8, exp.2

In the following example does mutation slightly improve the result (mut+).

-->l=3,p=5,n=8,show=2,[POP,tcw,ratio,f1,f0]=ftcw(POP,l,p,n,show)

 f0  =
 
    1.1221374  
 f1  =
 
    1.8778626  
 ratio  =
 
    1.6734694  
 tcw  =
 
    7.5584157  

 POP  =
 
    1.    0.    0.    4.    16.    0.1221374  
    0.    0.    0.    0.    0.     0.         
    0.    1.    1.    3.    9.     0.0687023  
    1.    1.    0.    6.    36.    0.2748092  
    1.    1.    0.    6.    36.    0.2748092  
    0.    0.    0.    0.    0.     0.         
    0.    1.    1.    3.    9.     0.0687023  
    1.    0.    1.    5.    25.    0.1908397  
 
-->l=3,p=5,n=8,N=(round(tcw)*2)*3, MThreshold=tcw*2,show=2,[POP]=ga(POP,l,p,n,N,
MThreshold,show)

mutation point at = (3, 3)
mutation point at = (1, 2)

Number of Events n * N = 384
 
POP  =
 
    33.418367  
    51.785714  
    58.928571  
    70.408163  
    78.826531  
    87.244898  
++++++++++++++++++ 
    87.244898 
------------------ tcw 
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    87.244898  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    83.928571  
    77.806122  
    78.826531  
    87.244898  
    87.244898  
    88.265306  
    90.561224  
    90.561224  
    90.561224  
    90.561224  
    90.561224  
    90.561224  
    90.561224  
    90.561224  
    90.561224  
    90.561224

Figure 3.32: worst case convergence time tcw measured with l=3, n=8, exp-2
\includegraphics[width=4.5in]{fratall_l3n8_exp2.eps}



Gerd Doeben-Henisch 2012-03-31