Planar array optimization by means of SNO and StudGA

Boldini, A.; Gonano, Carlo Andrea; Grimaccia, Francesco; Mussetta, Marco; Niccolai, Alessandro; Sgambati, R.; Zich, R.E.

doi:10.1109/aps.2014.6905302

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The ant lion optimization (ALO) algorithm was applied to obtain a beam pattern with the optimized SLL as well as the deep null [27]. Boldini et al [28] propose to use the social network optimization (SNO) algorithm in planar antenna arrays, and compared the consequence with some other approaches. Khodier et al [29] also utilized the PSO algorithm to minimize the SLL and control the nulls.…”

Section: Related Workmentioning

confidence: 99%

IWORMLF: Improved Invasive Weed Optimization With Random Mutation and Lévy Flight for Beam Pattern Optimizations of Linear and Circular Antenna Arrays

et al. 2020

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The beam pattern synthesis of antenna arrays is one of the most significant optimization problems in the electromagnetics community, and it affects the performance of wireless communication systems. In this article, we formulate the beam pattern optimization problems, and propose an improved invasive weed optimization with random mutation and Lévy flight (IWORMLF) algorithm to synthesize the beam patterns of linear antenna arrays (LAAs) and circular antenna arrays (CAAs). IWORMLF introduces the random mutation operator and the Lévy flight mechanism to enhance the efficiency and to balance the exploration and exploitation of the algorithm for optimization problems. Several simulations are conducted to evaluate the performance of the proposed approach. First, IWORMLF is tested by a variety of benchmark functions, and the results indicate that it achieves the best performance in most of the functions compared to some other algorithms. Second, IWORMLF is utilized for the maximum sidelobe level (SLL) reduction and the joint maximum SLL and mainlobe beamwidth reductions. The results show that it achieves better performances in terms of the convergence rate, stability, and accuracy compared to some evolutionary algorithms for these optimization cases. Third, the efficiencies of the improved factors are verified. Finally, electromagnetism simulations are conducted to evaluate the performance of IWORMLF for the beam pattern optimizations with considering mutual coupling.INDEX TERMS Antenna array, beam pattern, sidelobe level, invasive weed optimization.

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Section: Related Workmentioning

confidence: 99%

IWORMLF: Improved Invasive Weed Optimization With Random Mutation and Lévy Flight for Beam Pattern Optimizations of Linear and Circular Antenna Arrays

et al. 2020

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“…The authors in [19] also use a CS-based algorithm to synthesize the beam patterns of a large-scale planar antenna array (PAA). Reference [20] utilizes the social network optimization (SNO) algorithm to design the PAA, and the results are compared with the stud genetic algorithm. Saxena and Kothari [21] use the ant lion optimization (ALO) to suppress the maximum SLL and to control the deep nulls of the LAA.…”

Section: Introductionmentioning

confidence: 99%

An Antenna Array Sidelobe Level Reduction Approach through Invasive Weed Optimization

Sun

Liu

et al. 2018

International Journal of Antennas and Propagation

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The problems of synthesizing the beam patterns of the linear antenna array (LAA) and the circular antenna array (CAA) are addressed. First, an optimization problem is formulated for reducing the maximum sidelobe level (SLL) of the beam patterns. Then, the formulated problem is solved by using the invasive weed optimization (IWO) algorithm. Various simulations are performed to evaluate the effectiveness of the IWO algorithm for the synthesis of the beam patterns of the LAA and the CAA. The results show that IWO has a better performance in terms of the accuracy, the convergence rate, and the stability compared with other algorithms for the SLL reductions. Moreover, the electromagnetic simulation results also show that IWO achieves the best performance for the beam pattern synthesis of the antenna arrays in practical conditions.

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