Swarm intelligence in solution of impedance matching problem in Satellite Transmitters

This paper presents an ant colony optimization (ACO) method for the synthesis of impedance matching networks in Satellite Transmitters which is a demanding electronics engineering problem. The ACO method is a recent alternative for biologically inspired computing such as Genetic Algorithms (GA). In this study the ACO has been applied for the solution of impedance matching problem for the microwave transmission lines. The results are compared with that of the Continuous Parameter Genetic Algorithm (CPGA) method. The results are encouraging in terms of the quality of solution found, the average number of function evaluations and the processing time.