A Multi-Objective Approach to Subarrayed Linear Antenna Arrays Design Based on Memetic Differential Evolution

Goudos, Sotirios K.; Gotsis, Konstantinos A.; Siakavara, Katherine; Vafiadis, E.; Sahalos, John N.

doi:10.1109/tap.2013.2254437

Cited by 82 publications

(36 citation statements)

References 57 publications

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“…The flowchart of the GDE3 is shown in Figure 2. Without loss of generality, the antenna arrays to be considered in this paper are nine-ring CCRAs and a sixring CCRA with isotropic elements presented in [21]. The spacing between adjacent elements on the same ring is constant and greater than or equal to λ/2, where λ is the wavelength at the center frequency.…”

Section: Pattern Synthesis With Time Modulation Techniquementioning

confidence: 99%

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Multiobjective Optimization Design of Time-Modulated Concentric Circular Ring Arrays

Liang

Zhang

2018

International Journal of Antennas and Propagation

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A multiobjective approach based on the third evolution step of generalized differential evolution (GDE3) algorithm is proposed for optimizing the time-modulated array (TMA) in this paper. Different from the single-objective optimization, which optimizes a weighted sum of the peak sidelobe level (PSLL) and the peak sideband level (PSBL) of the array, the multiobjective algorithm treats the PSLL and the PSBL as two distinct objectives that are to be optimized simultaneously. Furthermore, not only one outstanding optimization result can be acquired but also a set of solutions known as Pareto front is obtained by using the GDE3 algorithm, which will guide the design of time-modulated array more effectively. Users can choose one appropriate outcome which has a suitable tradeoff between the PSLL and the PSBL. This approach is illustrated through a time-modulated concentric circular ring array (CCRA). The optimal parameters and the corresponding radiation patterns are presented at last. Experimental results reveal that the multiobjective optimization can be an effective approach for the TMA synthesis problems.

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Section: Pattern Synthesis With Time Modulation Techniquementioning

confidence: 99%

“…In fact, there are a set of solutions known as Pareto front or nondominated solutions [12][13][14][15][16][17]. Therefore, multiobjective evolutionary algorithms have been employed to solve complicated antenna design problems such as the optimal synthesis of linear arrays, planar arrays, or concentric ring arrays [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization Design of Time-Modulated Concentric Circular Ring Arrays

Liang

Zhang

2018

International Journal of Antennas and Propagation

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“…Then created population is ranked using domain and ranking ideas. This iterative process continues until optimum solutions are achieved [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. …”

Section: The Proposed Multi Objective Optimization Algorithmmentioning

confidence: 99%

New Hybrid Non-Dominated Sorting Differential Evolutionary Algorithm

Bakhshipour¹,

Namdari²,

Bahador³

2016

Bulletin EEI

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“…However, such "a-posteriori chosen articulation of preferences" approach requires to repeat a large number of multiple single target optimizations with a variation of the optimization objectives. The creation of the Pareto front is generally a large time consuming task [3][4][5][6][7] and requires a computation time that is unacceptable in case of complex or electrically large structures.…”

Section: Introductionmentioning

confidence: 99%

A Lexicographic Approach for Multi-Objective Optimization in Antenna Array Design

Pinchera¹,

Perna²,

Migliore³

2017

PIER M

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Abstract-In this paper we focus on multi-objective optimization in electromagnetic problems with given priorities among the targets. The approach proposed in this paper is able to build a proper cost function capable to correctly implementing the design criteria and their priorities avoiding the evaluation of the Pareto front of the solutions, which is a very time consuming task required in the classic a-posteriori methods. The resulting function, named Quantized Lexicographic Weighted Sum (QLWS), can be used as cost function in a very large class of electromagnetic problems. In this paper we demonstrate its usefulness in two common situations in antenna array design: the synthesis of a sparse linear array and a sparse isophoric ring array.

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A Multi-Objective Approach to Subarrayed Linear Antenna Arrays Design Based on Memetic Differential Evolution

Cited by 82 publications

References 57 publications

Multiobjective Optimization Design of Time-Modulated Concentric Circular Ring Arrays

Multiobjective Optimization Design of Time-Modulated Concentric Circular Ring Arrays

New Hybrid Non-Dominated Sorting Differential Evolutionary Algorithm

A Lexicographic Approach for Multi-Objective Optimization in Antenna Array Design

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