Genetic algorithms for telecommunication network optimization

Application of the genetic algorithms to telecommunication networks design optimization are presented. It is shown that with the proper choice of parameter values involved in the algorithm and particular implementation strategies, performance is greatly enhanced. In particular, the performance of serial and parallel implementations are compared, showing that the intrinsically parallel structure of the algorithm can be used to advantage the solution of network design problems. Results of a numerous case studies are also presented.