The convergence of genetic algorithms in GSM network optimization

This paper deals with the monitoring of the genetic algorithms convergence. GSM network parameters such as the radio channel and emitted power of the transmitters are the object of the optimization. Signal to noise ratio is the criterion of optimization. The best setting of the algorithm parameters has been looked for on the basis of many random trials. The probability of mutation and of crossover was taken as the changeable parameters of optimization. Results are presented by number of bar graphs, which displays the progress of optimization at different settings.