From: hashim on
Dears;

iam totaly new for using real coded genetic algorithim and i need to maximize fuction f(w1,E,D)=w1*E-w2*D where w1 is wighting factor between [0 1]. and E,&D are varibles with initail paramter form monte carlo simulation. that is, first , i must run a monte carlo simulations for a bivariate normal propabity distrbuion. and then i have to find the mean(E) and std(D) div for my function. then regard the fittness fuction as f(w1,E,D)=w1*E-w2*D and try to maximize it....any one can help with that???????

best regards
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