Identification of AIDS Disease Severity Using Genetic Algorithm - Computational Intelligence Techniques for Comparative Genomics - page 102

32 male married 350

32 male married 350

Fig. 5 Mutation with attribute modi cation

1. When n = L, select one attribute randomly from individual p and delete the
corresponding term.
2. When L > n > 1, select one attribute arbitrarily from individual p and cal-
culate the 0, then delete the consequent

term or replace the attribute value by another. If F(p) = 0, then delete the
corresponding term.
3. When n = 1, replace the present attribute value with another attribute on the
probability.
Mutation with attribute modication:
Mutation with attribute modi

tness of individual p.IfF(p) ≠

cation is shown in Fig. 5 :
Steps from mutation with attribute modi

cation:

i. Select a random point within the attribute range.
ii. Form the new rule by changing the selected attribute value.
iii. Compute the

tness of the newly formed rule if the tness is greater than the

parent then add this rule to the initial population.
iv. Repeat the above process for required number of times.
v. Mutation with attribute removal.

Figure 6 represents the chromosome before mutation and after mutation; the
arrow in the Fig. 6 indicates the mutated attribute.
Sequential steps in mutation with attribute removal:

i. Select a random point within the attribute range.
ii. Form the new rule by removing the attribute value at the selected point.
iii. Compute the

tness of the new rule is greater than
the parent then add this chromosome to the initial population.
iv. Repeat this process for required number of times.

tness of the new rule. If the

32 male married 0

32 male married 0

Fig. 6 The chromosome before mutation and after mutation