Optimization of microwave devices using 3-D finite elements and the design sensitivity of the frequency response

Nair, D.; Webb, J.P.

doi:10.1109/tmag.2003.810520

Cited by 69 publications

(44 citation statements)

References 9 publications

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“…We discuss properties 4 of low-fidelity antenna models obtained from coarse-discretization EM simulations, as well as described the design optimization procedure. In this procedure the response surface approximation model, initially constructed using solely low-fidelity model data, is gradually improved using the high-fidelity simulations accumulated during the optimization run, and blended with the initial response surface using co-Kriging.…”

Section: Antenna Design Using Co-krigingmentioning

confidence: 99%

“…Such "tuning" process may take as much as a few weeks of work and involve numerous EM simulations. The EM-driven design cost can be reduced by exploiting adjoint sensitivity techniques [3], [4] that allow obtaining exact derivative information of the antenna responses with respect to the designable parameters at little or no extra computational cost [5]. Recently, adjoint sensitivity has become commercially available (e.g., [6]).…”

Section: Introductionmentioning

confidence: 99%

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Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging

Koziel¹,

Ogurtsov²,

Couckuyt³

et al. 2012

IET Microwaves, Antennas &Amp; Propagation

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An efficient and reliable technique for design optimization of antennas is presented.Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through Kriging. During the design process, predictions obtained by optimizing the surrogate are verified using highfidelity EM simulations, and these high-fidelity data are used to enhance the surrogate using co-Kriging interpolation that accommodates all EM simulation data into one surrogate model. The co-Kriging-based optimization algorithm is simple, elegant and is capable of yielding a satisfactory design at a low cost equivalent to a few high-fidelity EM simulations of the antenna under design. To our knowledge, this is a first application of co-Kriging to antenna design. Efficiency of our approach is demonstrated with several antenna design cases and compared to other techniques including pattern search and space mapping.

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Section: Antenna Design Using Co-krigingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging

Koziel¹,

Ogurtsov²,

Couckuyt³

et al. 2012

IET Microwaves, Antennas &Amp; Propagation

View full text Add to dashboard Cite

show abstract

“…On the other hand, design automation is difficult because conventional optimization routines are prone to failure and require large number of simulations to converge [9], [10]. Design speedup can be achieved by exploiting adjoint sensitivity techniques [11], [12] available through some commercial EM solvers [13], [14]. Also, surrogate-based optimization (SBO) techniques [15] have been recently applied for compact UWB antenna design [16], [17], which seems to be a quite promising approach in handling this type of design tasks.…”

Section: Introductionmentioning

confidence: 99%

A structure and design of novel compact UWB slot antenna

Bekasiewicz

Koziel

Dhaene

2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

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Abstract-A structure and design optimization procedure of a compact UWB slot antenna is presented. Small size of the antenna and its good electrical performance is achieved by introducing sufficiently large number of geometry degrees of freedom, including a stepped-impedance feed line and a meandered slot with parameterized dimensions. All dimensions are simultaneously adjusted using automated EM-simulationdriven optimization algorithm. Exploitation of variable-fidelity models allows us to maintain low computational cost of the design process. The footprint of the optimized antenna is only 8.93 mm × × × × 17.9 mm (160 mm 2 ) while maintaining low reflection in the entire UWB frequency range.Index Terms-UWB Antennas, compact antennas, computeraided design, EM-driven design, surrogate-based optimization.

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“…Majority of conventional techniques (such as gradient-based algorithms or derivative free methods, e.g., pattern search algorithms) require considerable number of objective function evaluations (and, associated EM simulations) to yield an optimized design [4]. Recent availability of adjoint sensitivity techniques [5,6] through certain commercial simulation software packages (e.g., [7,8]) revived interest in gradient optimization. On the other hand, surrogate-based optimization (SBO) techniques [9][10][11][12][13] allow for dramatic reduction of the design optimization costs by shifting most of the operations into cheap replacement models (surrogates).…”

Section: Introductionmentioning

confidence: 99%

Recent developments in simulation-driven multi-objective design of antennas

Koziel

Bekasiewicz

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This paper addresses computationally feasible multi-objective optimization of antenna structures. We review two recent techniques that utilize the multi-objective evolutionary algorithm (MOEA) working with fast antenna replacement models (surrogates) constructed as Kriging interpolation of coarse-discretization electromagnetic (EM) simulation data. The initial set of Pareto-optimal designs is subsequently refined to elevate it to the high-fidelity EM simulation accuracy. In the first method, this is realized point-by-point through appropriate response correction techniques. In the second method, sparsely sampled high-fidelity simulation data is blended into the surrogate model using Co-kriging. Both methods are illustrated using two design examples: an ultra-wideband (UWB) monocone antenna and a planar Yagi-Uda antenna. Advantages and disadvantages of the methods are also discussed.

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Optimization of microwave devices using 3-D finite elements and the design sensitivity of the frequency response

Cited by 69 publications

References 9 publications

Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging

Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging

A structure and design of novel compact UWB slot antenna

Recent developments in simulation-driven multi-objective design of antennas

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