A Firefly-Cuckoo Search Algorithm for Optimizing the Beam Patterns of the Random Antenna Arrays

In this paper, a firefly-cuckoo search algorithm (FCSA) is proposed to solve the beam pattern optimization problem of the random antenna arrays (RAA). FCSA introduces the Levy flight mechanism of the cuckoo search algorithm as the global search operator to improve the performance of the conventional firefly algorithm. Several simulations are conducted to evaluate the proposed approach and the results show that FCSA has better performance in terms of the accuracy and the convergence rate for reducing the maximum sidelobe level (SLL) of the RAA.