2016
DOI: 10.1016/j.aeue.2016.09.008
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Reduction of Dynamic Range Ratio through Competition Over Resources to synthesize planar array antennas

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Cited by 5 publications
(3 citation statements)
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“…The parameters chosen for COR: maximum no. of iteration = 100, initial population = 50, predefined function for group member is considered as 4 and death rate is 1 for COR method obtained from Refs 22,23 . Flow chart of CRO algorithm is given in Figure 6.…”
Section: Cor (Competition Over Resources) Optimization Techniquementioning
confidence: 99%
See 1 more Smart Citation
“…The parameters chosen for COR: maximum no. of iteration = 100, initial population = 50, predefined function for group member is considered as 4 and death rate is 1 for COR method obtained from Refs 22,23 . Flow chart of CRO algorithm is given in Figure 6.…”
Section: Cor (Competition Over Resources) Optimization Techniquementioning
confidence: 99%
“…In Ref., 21 COR is achieved faster convergence compared with different algorithms for different benchmark functions. COR technique is successfully applied to planer array synthesis, 22 antennas application 23,24 . Different optimization algorithms are employed to study stability micro‐grid, but COR technique is not applied to study LFC problem in micro‐grid.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, the control of the dynamic range ratio (DRR), that is, the ratio between the maximum and the minimum excitation amplitude of the array elements, allows the practical realization of noncomplex feeding networks, in which the number of power dividers may be kept low or the design of the feeding striplines may be simplified. To jointly match the pattern and feeding network constraints, many solutions have been proposed, some allowing selecting a specified value for each excitation amplitude [3], others reducing the DRR [4][5][6], and still others enabling phase-only control [7,8].…”
Section: Introductionmentioning
confidence: 99%