Multi-Objective Evolutionary Algorithms And Its Application In The Pattern Synthesis Of Antenna Arrays

Recently, with the development of intelligence and evolutionary computation theory which can be used in nonlinear, big space and multi-parameter optimization, it begins to be used in many technology researches. In pattern synthesis, genetic algorithm (GA), differential evolutionary algorithm and particle swarm optimization (PSO) algorithm have showed a lot of advantages. Generally speaking, GA has a strong solidity and PSO has a simple structure and easy to be applied in a quicker convergence speed.The existing pattern synthesis of antenna arrays can't be used to suppress the sidelobe when several prescribed nulls exist. Basing on analyzing the existing multi-objective optimization functions and the related content in existing literature, a dynamic weight objective function model is proposed in this paper. According to the test of the fitness of objective function, the results demonstrate that this method has a nice optimum effect. Finally, application of the modified objective function in the radiation pattern synthesis of antenna arrays and comparative result are also presented.Moreover, In this paper, a novel quasi particle swarm optimization(Quasi-...