We study different genetic algorithm operators for one permutation pro
blem associated with the Human Genome Project-the assembly of DNA sequ
ence fragments from a parent clone whose sequence is unknown into a co
nsensus sequence corresponding to the parent sequence. The sorted-orde
r representation, which does not require specialized operators, is com
pared with a more traditional permutation representation, which does r
equire specialized operators. The two representations and their associ
ated operators are compared on problems ranging from 2K to 34K base pa
irs (KB). Edge-recombination crossover used in conjunction with severa
l specialized operators is found to perform best in these experiments;
these operators solved a 10KB sequence, consisting of 177 fragments,
with no manual intervention. Natural building blocks in the problem ar
e exploited at progressively higher levels through ''macro-operators.'
' This significantly improves performance.