Genetic algorithm diagnosis of individual cell frequencies in a coupled cavity chain

Genetic algorithms (GAs) are used to diagnose individual cell frequencies i n a coupled cavity chain without any perturbing objects. The cell frequenci es and couplings between the cells are determined in terms of the measured passband performance. The analysis simplifies the tuning processes and enab les the tuning of the sealed cavities possible. The problem is solved as an optimization problem with GAs used as a function optimizer. The convergenc e is improved using the nonlinear least-squares method as a modification of the GAs, which also improves the precision of the solution. The effectiven ess of the new technique is demonstrated through some numerical examples an d the results are compared with those of the conventional GAs. (C) 2001 Els evier Science B.V. All rights reserved.