Synthesis of thinned square array using modified teaching-learning-based optimization algorithm

This paper proposes a modified teaching-learning-based optimization (TLBO) algorithm for synthesis of thinned square array with low side lobe level (SLL). A local search method based on status switch of elements is imposed to speed up the convergence of the TLBO algorithm and enhance the global searching ability of TLBO. Numerical results of thinned square array synthesis show that the performance of the proposed modified TLBO algorithm outperforms other methods through comparison.