An Efficient Antenna Optimization Method Based on Variable Population Size

To reduce the computational cost and time associated with automatic antenna optimization, this paper proposes a differential evolution algorithm with a variable population mechanism. Firstly, the paper introduces the differences between traditional methods and the variable population approach. Subsequently, three metrics are designed as criteria to implement a population size adjustment mechanism. This mechanism includes an individual addition mechanism and an individual deletion mechanism. Experimental results show that the variable population method can significantly reduce the number of fullwave simulations required for antenna optimization.