Practical Neural Network Recipies in C++

448

Appendix

minfitness -

l.e30

;

for

(

indi v1dual-0 ; indi viduaKpopsI ze ; indi v1dual++) {

fitnessCind1v1dual] - fit - exp ( fltfac * errors[1nd1vldualD ) ;

avgfitness -H- fit ;

if (fit > maxfitness)

maxfitness - fit ;

1f (fit < minfitness)

minfitness - fit ;

}

avgfitness /- (double) popslze ;

ftemp - maxfitness - avgfitness ;

1f (ftemp > l.e-20) { // Insurance: average may equal max!

tmult - (favor best - 1.0) * avgfitness / ftemp ;

tconst - avgfitness * (maxfitness - favor best * avgfitness) / ftemp ;

el

se {

tmult - 1.0 ;

tconst - 0.0 ;

}

1f (tmult * minfitness + tconst < 0.0) { // Do not allow negative fitness

ftemp - avgfitness - minfitnes ...