Applying micro GA concept for problems with large and rugged solution space

Genetic Algorithms have been a very effective tool in solving highly non-linear problems in various disciplines. They are capable of finding an acceptable solution, even if number of acceptable solutions happens to be very small percentage of the total number of possible solutions. However the convergence rate may become very slow when the solution space happens to be very large and rugged. In this paper an approach based on micro-GA has been suggested for solving such class of problems. An illustrative example of applying the concept for an antenna problem is discussed.