Illinois Genetic Algorithms Laboratory

Sastry, K., Goldberg, D. E. (2002)
TR No.: 2002003 | Download PDF | Download PS

Abstract:

This study develops a decision-making strategy for deciding between
fitness functions with differing bias values. Simple, yet practical
facetwise models are derived to aid the decision-making process. The
decision making strategy is designed to provide maximum speed-up and
thereby enhance the efficiency of GA search processes. Results indicate
that bias can be handled temporally and that significant speed-up values
can be obtained.