A Study On The Improvement Of Team Progress Algorithm And Its Applications In The Optimization And Design Of Antennas

Evolutionary algorithm has strong robustness,high success rate of global optimization and simple principle.It is widely used in optimization problems.Using evolutionary algorithm to optimize and design antennas can improve efficiency of design and the performance of antennas effectively. In this paper, the improvement of team progress algorithm(TPA) which is a kind of dual-population evolutionary algorithm and its applications in the optimization and design of planar antennas are introduced.Specific work can be listed as following.Firstly, the principle and process of team progress algorithm(TPA) are introduced briefly. TPA is based on the principle of dual-population cooperation.According to the different models,the team members carry out learning or exploring behavior.Then the rules of updating make members progress and close to the optimal solution rapidly.These can effectively overcome the defects of premature or slow convergence in the single population algorithm and solve the contradiction between the global search and fast convergence.Then using ten functions to test TPA and difference algorithm(DE) and the optimization results are compared. Testing results verify higher global search capability,less computation,higher stability and simpler parameter of TPA.Secondly, based on the principle of original algorithm, TPA is improved from using geometric learning model to replace arithmetic learning model and gaussian random number to generate learning step length and exploring step length.With ten benchmark test functions to the modified TPA, the optimization results show that the performance of the the modified TPA has been improved in the success rate of global optimization and convergence speed.Finally,a plug-in optimizer based on the modified TPA and HFSS software is introduced.And the modified TPA is used to optimize three planar antennas and improve the impedance bandwidth of the antennas.The low and high frequency relative bandwidth of dual-band microstrip rectangular patch antenna increase 5.8% and 8.2%.The relative bandwidth of short circuit probe loading planar inverted F antenna increases 3.2% and resonance center shifts to the right.The low and high frequency relative bandwidth of 4G mobile antenna of multi-band increase 3.3% and 3.2%. The optimized results fully prove the feasibility of the optimizer and efficiency of the modified TPA.