Diagnosis of individual cell frequencies in a coupled cavity chain by genetic algorithms

Genetic algorithms (GAs) is used to diagnose individual call frequencies in a coupled cavity chain with no need of any probe insertion. The cell frequ encies and couplings between the cells are determined in terms of the measu red pass-band performance. It will simplify the tuning processes and make t he tuning of the sealed cavity possible. The solution is cast as an optimiz ation problem and GAs is used as a function optimizer to solve this problem . Moreover, in order to expedite the convergence, nonlinear least squares m ethod is added as one kind of mutation into GAs, which makes GAs converge f aster and improves the precision of the solution. The effectiveness of the new technique has been demonstrated through some numerical examples, and th e results have also been compared with those of the conventional GAs.