Antenna Pattern Synthesis Based on Hybrid Chaotic Mind Evolution Algorithm

Antenna array pattern synthesis is finding weights of amplitude and phase of every array elements to satisfy a set of specifications on the beam pattern. The global synthesis of antenna arrays that generate a desired radiation pattern is a highly nonlinear optimization problem. Chaotic mind evolution algorithm (CMEA) is a hybrid algorithm incorporating chaos with MEA, which reasonably combines the population-based evolutionary searching ability of MEA and chaotic searching behavior. In this method, the chaos optimization is introduced in different phase of population evolution. The chaotic ergodicity guides the evolution to reach global optimum or its good approximation with high probability. The character of memory and optimum solution of the present generation are used to instruct the chaos search to improve searching efficiency. The test case confirmed the effectiveness, the flexibility and suitability of the proposed CMEA-based procedure for the antenna array pattern synthesis.