3.2. Implement a tabu algorithm for minimizing the AIC for the baseball salary regression problem. Model your algorithm after Example 3.7.

a. Compare the effect of using different tabu tenures.

b. Monitor changes in AIC from one move to the next. Define a new attribute that signals when the AIC change exceeds some value. Allow this attribute to be included on the tabu list, to promote search diversity.

c. Implement aspiration by influence, overriding the tabu of reversing a low-influence move if a high-influence move is made prior to the reversal. Measure influence with changes in R2.