Comparative Analysis of Side Lobe Level Reduction Optimization Algorithms of Linear Antenna Array
نویسندگان
چکیده
Linear antenna array design is one of the most important electromagnetic optimization problems of current interest . In the antenna arrays the side lobe level is main problem which causes wastage of energy. This paper describes the application of a recently developed metaheuristic algorithm ,known as the Particle Swarm Optimization Gravitational Search Algorithm(PSOGSA) to optimize the spacing between the elements of the linear array to produce a radiation pattern with minimum side lobe level. The results of the PSOGSA algorithm have been compared with results obtained using other metaheuristics like the Invasive Weed optimization(IWO),Particle Swarm Optimization(PSO) and Tabu Search (TS) algorithm.
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