Side Lobe Level Reduction in Antenna Array Using Evolutionary Algorithms: A Review
نویسندگان
چکیده
Antenna array design is one of the most imperative electromagnetic optimization problem of current interest. In the antenna arrays the side lobe level is main problem which causes waste of energy. In this paper, different evolutionary algorithms are presented for reduction of side lobe level in antenna array. The invasive weed optimization(IWO) algorithm outperform PSO, ACO, and GA based on metrics such as average final accuracy,side lobe level (SLL),directivity, convergence speed, and robustness.
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