  In this paper we introduce adaptation mechanism based on genetic algorithms
in minority games. If agents find their performances too low, they modify their
strategies in hope to improve their performances and become more successful.
One aim of this study is to find out what happens at the system as well as at
the individual agent level. We observe that adaptation remarkably tightens the
competition among the agents, and tries to pull the collective system into a
state where the aggregate utility is the largest. We first make a brief
comparative study of the different adaptation mechanisms and then present in
more detail parametric studies. These different adaptation mechanisms broaden
the scope of the applications of minority games to the study of complex
systems.
