Moea/D-Go for Fragmented Antenna Design

Abstract-Finite Difference Time Domain (FDTD) method is widely used in the simulation of various kinds of antennas. In this paper, research on the numerical simulation of the fragment-type antenna by using FDTD is conducted. The fragment-type antenna structures with different cell sizes and different overlapping sizes are simulated and measured. The validity of the numerical simulation of the fragmenttype antenna by using FDTD is verified through the comparison between the simulated and measured return losses. In addition, its efficiency in terms of computation time shows great potential in engineering applications, especially when the design matrix is large enough.

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Fragment-Type Antenna by Using Finite Difference Time Domain (Fdtd)

Yang¹,

Ding²,

Ding³

et al. 2017

“…MOEA/D-GO carries forward all advantages of MOEA/D and genetic algorithm (GA). Detailed introduction and flowchart of MOEA/D-GO can be found in [20].…”

Section: Moea/d-go For Fragmented Tag Designmentioning

confidence: 99%

“…However, for fragmented tag of a large amount of fragment cells, an efficient MOEA algorithm is always desired. Recently, a high-efficiency multiobjective optimization technique for fragmented antenna design, referred to as multiobjective evolutionary algorithm based on decomposition combined with enhanced genetic operators (MOEA/D-GO), was proposed [20]. MOEA/D-GO carries forward all advantages of MOEA/D and genetic algorithm (GA).…”

Section: Moea/d-go For Fragmented Tag Designmentioning

confidence: 99%

See 1 more Smart Citation

Design of Tiny Versatile Uhf Rfid Tags of Fragment-Type Structure

Yang¹,

Wang²,

Ding³

2014

Self Cite

Abstract-Small ultra high frequency (UHF) radio frequency identification (RFID) tags of fragmenttype structure can be designed for broadband operation and for versatile impedance matching to different chips. The fragment-type tag structure can be optimized by using genetic algorithm. In our design, multi-objective evolutionary algorithm based on decomposition combined with enhanced genetic operators (MOEA/D-GO) is used for optimization searching. The multiple objectives are defined in terms of power transmission coefficients for operation in multiple RFID bands and for impedance matching to several prevailing RFID chips. For demonstration, a fragmented tiny square UHF tag of dimensions of 5.5 mm * 5.5 mm is designed for multi-band operation over the 433 MHz, 869 MHz and 915 MHz RFID bands, and a fragmented round tiny RFID tag of radius of 4.5 mm is also designed for versatile connection to five prevailing RFID chips at 915 MHz. The tiny round versatile tag is tested by connecting two chips, the IMPIMJ Monza-4 chip (11 − 143j) and ALIEN Higgs-3 chip (27 − 195j), respectively. Effects of input impedance and adjunct fragments on versatility of the design are further discussed.

“…However, these methods dealing with single objective function is not suitable for a practical engineering problem which often refers to several objective functions with conflict or unknown relationship [1]. In [8], a novel population-based metaheuristic, MOEA/D-GO (multiobjective evolutionary algorithm based on decomposition combined with enhanced genetic operators), is proposed. The features of MOEA/D-GO consist of the enhanced genetic operators, mainly including selection operator, where the best individual in neighborhood is utilized to guide the global-search, which leads to fast convergence rate, and the crossover among three individuals reinforces the population diversity.…”

Section: Introductionmentioning

confidence: 99%

Moea/D-Go+fdtd for Optimization Design of Fragment-Type Structure

Ding¹,

Ding²,

Xia³

et al. 2017

Abstract-Fragment-type structure has been used to design antennas and microwave circuits. Special optimization technique, including optimization algorithm and EM software (electromagnetic) simulator, is necessary for the design of this kind of structure. In this paper, a novel optimization technique, MOEA/D-GO+FDTD, is proposed, where MOEA/D-GO (multiobjective evolutionary algorithm combined with enhanced genetic operators) serves as the optimization algorithm and Finite-Difference Time-Domain (FDTD) method serves as the electromagnetic simulator. As an example, a compact bandpass microstrip filter is designed by using MOEA/D-GO+FDTD. Firstly, numerical simulation of the fragment-type microstrip filter by using FDTD method is investigated. Secondly, a microstrip filter operating at 3.8 GHz-6.5 GHz is designed through optimizing return loss, insertion loss, and out-of-band rejection. Finally, comparison of the computational costs between different electromagnetic simulators verifies high efficiency of the proposed MOEA/D-GO+FDTD.