Biological Computation

Evolutionary Computation    ◾    107

In this case it is harder to determine which representation leads to a more

eective evolutionary search without implementing both representations.

It turns out the second representation is signicantly more ecient.

Various genetic operators were proposed to improve the performance

of genetic algorithms for specic problems. Many of these were general-

izations of the crossover operator. An example is increasing the number of

break points along the chromosome: for example, taking the rst segment

of the chromosome from one parent, then the second from the other par-

ent, and then the last part again from t