engleski

Determination of optimal mutation interval for µ GA based on the performance analysis of GA and µ GA

In order to provide the fastest search for optimal solution, both the structure and the parameters of genetic algorithms (GA) should be optimized. The advantage of recently introduced micro-genetic algorithms (μ GA) is that they operate with smaller genetic populations than standard GA. This paper describes the method of determining an optimal (best possible) mutation interval for μ GA based on the analysis of the influence of mutation on the performance of GA and μ GA. The results obtained analytically and numerically for a selected vector optimization problem show the practical value of the method.

genetic algorithms; microgenetic algorithms; optimal mutation interval

nije evidentirano