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- W4379536806 abstract "Thinning array antennas have become one of the best approaches towards minimizing side lobes and achieving the required FNBW and SLL. Unlike all element arrays, thinning systematically removes some fraction of elements and activates the remaining element to obtain the intended pattern without degrading the performance of the antenna array. An evolutionary algorithm is gaining growth in providing better optimization solutions than other computational algorithms. In this research, Standard Differential Evolution (SDE) and Dynamic Differential Evolution (rDE) utilizing a range of binary mapping possibilities have been used to achieve thinning of Circular Antenna Array (CAA). Experimental result shows that D.E. with dynamic mutation factor technique has outperformed in fulfilling the desired radiation pattern for thinned CAA compared to all the variants of D.E. and also has exhibited finer solution compared to All Element Array (AEA) and Fire Fly Algorithm (FFA)." @default.
- W4379536806 created "2023-06-07" @default.
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- W4379536806 date "2023-05-31" @default.
- W4379536806 modified "2023-09-23" @default.
- W4379536806 title "Optimization of Thinned Circular Antenna Array Pattern using Dynamic Differential Evolution" @default.
- W4379536806 doi "https://doi.org/10.14445/23488549/ijece-v10i5p112" @default.
- W4379536806 hasPublicationYear "2023" @default.
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