Low Side Lobe Level Linear Array Optimization Using Evolutionary Algorithms:A Review

Antenna array is an assembly of radiating elements that are arranged in space and can be utilized to deliver a directional radiation pattern that could not possible with single antenna. In antenna arrays the side lobe level is the major problem which causes wastage of energy. To increased transmission efficiency as well as to prevent the interference, minimization of SLL is one of the basic requirements in the array system design. Aimed at this problem various optimization evolutionary algorithms are exploited such as genetic algorithm, invasive weeds optimization algorithm, ant colony algorithm, flower pollination algorithm, particle swarm optimization and hybrid adaptive genetic algorithm etc. based on metrics such as side lobe level (SLL), directivity, final accuracy, convergence speed, and robustness.