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In the paper, the problem of fast multi-objective optimization of compact impedance matching transformers is addressed by utilizing a novel Pareto ranking bisection algorithm. It approximates the Pareto front by dividing line segments connecting the designs found in the previous iterations, and refining the obtained candidate solutions by means of poll-type search involving Pareto ranking. The final...
This paper addresses an issue of systematic and rigorous assessment of effects of topological modifications on the performance of compact UWB antennas. Application of fast surrogate-assisted multi-objective optimization procedures allows us for obtaining, in a practically acceptable timeframe, a set of designs representing the best possible trade-offs between conflicting objectives (here, antenna...
In this paper, a novel technique for fast multi-objective design optimization of antenna structures has been presented. In our approach, the initial approximation of the Pareto front is obtained using a bisection algorithm which performs sequential partitioning of the design space and refines the new designs by means of poll-type search involving Pareto ranking. This stage of the optimization process...
This work addresses the problem of simultaneous determination of circuit topology and geometry parameter values of recurrent slow-wave structures. Here, the considered slow-wave structures are specifically meant for use as building blocks of two-section branch-line couplers, whose size and bandwidth depend on the aforementioned parameters. The proposed design strategy exploits data-driven models of...
Multi-objective optimization yields indispensable information about the best possible design trade-offs of an antenna structure, yet it is challenging if full-wave electromagnetic (EM) analysis is utilized for performance evaluation. The latter is a necessity for majority of contemporary antennas as it is the only way of achieving acceptable modeling accuracy. In this paper, a procedure for accelerated...
In this paper, multi-objective design of integrated spiral inductors is investigated. The method aims at finding the best possible trade-offs between inductor size and its quality factor. We adopt a penalty function approach to achieve a required inductance at a given operating frequency. The design process exploits a Pareto front exploration technique with trust-region-embedded gradient search as...
In this paper, a technique for fast multi-objective optimization of impedance matching transformers has been presented. In our approach, a set of alternative designs that represent the best possible trade-offs between conflicting objectives (here, the maximum reflection level within a frequency band of interest and the circuit size) is identified by directly exploring the Pareto front. More specifically,...
In this paper, an optimization-based procedure for performance comparison of alternative compact UWB antenna topologies is discussed. Our approach allows for fast assessment of compact antenna performance by identifying the best possible trade-offs between the antenna size and its reflection responses. Analysis of such Pareto-optimal designs obtained for various antenna topologies allows for their...
Practical design of microwave components and circuits is a compromise between various, often conflicting objectives. In case of compact structures, the trade-offs are typically concerned with the circuit size and its electrical performance. Comprehensive information about the best possible trade-offs can be obtained by means of multi-objective optimization. In this paper, we propose a computationally...
A numerical study concerning multi-objective optimization of antenna structures using sequential domain patching (SDP) technique has been presented. We investigate the effect of various setups of the patch size on the operation of the SDP algorithm and possible trade-offs concerning the quality of the Pareto set found by SDP and the computational cost of the optimization process. Our considerations...
In the paper, a procedure for low-cost multi-objective optimization of antenna structures is presented. Our approach is based on exploration of the Pareto front representing the best possible trade-offs between conflicting objectives, here, the structure size and its electrical performance. Starting from the design representing the best in-band reflection level, subsequent Pareto-optimal designs are...
A good compromise between size and electrical performance is an important design consideration for compact microwave structures. Comprehensive information about size/performance trade-offs can be obtained through multi-objective optimization. Due to considerable electromagnetic (EM) cross-couplings in highly compressed layouts, the design process has to be conducted at the level of high-fidelity EM...
In this paper, a simple yet efficient technique for automated multi-objective design optimization of antennas using design space patching is discussed. The optimization procedure is a two-step process: (i) obtaining the initial set of Pareto-optimal designs representing the best possible trade-offs between conflicting objectives, and (ii) Pareto set refinement for yielding the optimal designs at the...
Fast multi-objective optimization of compact impedance transformer is discussed. A set of alternative designs representing possible trade-offs between conflicting design criteria, i.e., electrical performance (here, wideband matching) and the structure size, is obtained through Pareto front exploration by means of surrogate-assisted methods.
Multi-objective optimization of antenna structures in highly-dimensional parameter spaces is investigated. For expedited design, variable-fidelity EM simulations and domain patching algorithm are utilized. The results obtained for a monopole antenna with 13 geometry parameters are compared with surrogate-assisted optimization involving response surface approximation modeling.
A technique for computationally efficient multi-objective design optimization of compact RF/microwave components is presented. Our approach exploits response surface approximation (RSA) models of the basic building blocks of the structure of interest and their cascade connection as a fast low-fidelity model of the entire structure. The set of Pareto-optimal solutions (corresponding to the best possible...
Cost-efficient multi-objective design of antenna structures is presented. Our approach is based on design space reduction algorithm using auxiliary single-objective optimization runs and coordinate system rotation. The initial set of Pareto-optimal solutions is obtained by optimizing a response surface approximation model established in the reduced space using coarse-discretization EM simulation data...
The paper presents a computationally-efficient methodology for multi-objective optimization of antenna structures. In our approach, the set of designs representing the best possible trade-offs between conflicting objectives is obtained by moving along the Pareto front and identifying the subsequent Pareto-optimal solutions using surrogate-based optimization techniques. For the sake of computational...
Expedited multi-objective design optimization of compact microwave/RF circuits is presented. Our approach utilizes variable-fidelity electromagnetic simulations, response surface approximations (RSAs) and design space reduction. The optimization process is conducted by means of a multi-objective evolutionary algorithm applied to the fast RSA model of the structure at hand. Selected Pareto-optimal...
Multi-objective optimization of a quasi-isotropic dielectric resonator antenna (DRA) is presented. Utilization of variable-fidelity electromagnetic (EM) DRA models, response surface approximations, and response correction techniques, allows us to obtain—at a low computational cost—a set of alternative antenna designs representing the best possible trade-offs between three conflicting objectives: antenna...
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