Analogue filter tuning for antenna matching with multiple objective particle swarm optimization

This paper discusses and compares the methods of multiobjective genetic algorithm (MOGA), multiobjective simulated annealing (MOSA) and divided range multiobjective particle swarm optimization (DRMPSO) applied to LC filter tuning. Specifically, the paper is concerned with applying these methods to design an antenna tuning unit, providing the facility to adapt to changes in load impedance, temperature or environmental effects, ensuring maximum power transfer and harmonic rejection. A number of simulations were carried out to evaluate the relative performance of these algorithms. Our results indicate that the DRMPSO provides a substantial improvement over the two other algorithms