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Verk
Multi-objective design optimization of planar Yagi-Uda antenna using physics-based surrogates and rotational design space reduction
(2015) Koziel, Slawomir; Bekasiewicz, Adrian; Leifsson, Leifur; Department of Engineering
A procedure for low-cost multi-objective design optimization of antenna structures is discussed. The major stages of the optimization process include: (i) an initial reduction of the search space aimed at identifying its relevant subset containing the Pareto-optimal design space, (ii) construction-using sampled coarse-discretization electromagnetic (EM) simulation data-of the response surface approximation surrogate, (iii) surrogate optimization using a multi-objective evolutionary algorithm, and (iv) the Pareto front refinement. Our optimization procedure is demonstrated through the design of a planar quasi Yagi-Uda antenna. The final set of designs representing the best available trade-offs between conflicting objectives is obtained at a computational cost corresponding to about 172 evaluations of the high-fidelity EM antenna model.
Verk
Fast optimization of integrated photonic components using response correction and local approximation surrogates
(2015) Bekasiewicz, Adrian; Koziel, Slawomir; Leifsson, Leifur; Department of Engineering
A methodology for a rapid design optimization of integrated photonic couplers is presented. The proposed technique exploits variable-fidelity electromagnetic (EM) simulation models, additive response correction for accommodating the discrepancies between the EM models of various fidelities, and local response surface approximations for a fine tuning of the final design. A specific example of a 1,555 nm coupler is considered with an optimum design obtained at a computational cost corresponding to about 24 high-fidelity EM simulations of the structure.
Verk
Computational science at the gates of nature, preface for ICCS 2015
(2015) Koziel, Slawomir; Leifsson, Leifur; Lees, Michael; Krzhizhanovskaya, Valeria V.; Dongarra, Jack; Sloot, Peter M.A.; Department of Engineering
Verk
Nested space mapping technology for expedite EM-driven design of compact RF/microwave components
(2014) Bekasiewicz, Adrian; Koziel, Slawomir; Kurgan, Piotr; Leifsson, Leifur; Department of Engineering
A robust simulation-driven methodology for rapid and reliable design of RF/microwave circuits comprising compact microstrip resonant cells (CMRCs) is presented. We introduce a nested space mapping (NSM) technology, in which the inner space mapping layer is utilized to improve the generalization capabilities of the equivalent circuit model corresponding to a constitutive element of the circuit under consideration. The outer layer enhances the surrogate model of the entire structure under design. We demonstrate that NSM significantly improves performance of surrogate-based optimization of composite RF/microwave structures. It is validated using two examples of UWB microstrip matching transformers (MTs) and compared to other competitive surrogate-assisted methods attempting to solve the problem of compact RF/microwave component design.
Verk
Computational optimization, modelling and simulation : Past, present and future
(2014) Yang, Xin She; Koziel, Slawomir; Leifsson, Leifur; Department of Engineering
An integrated part of modern design practice in both engineering and industry is simulation and optimization. Significant challenges still exist, though huge progress has been made in the last few decades. This 5th workshop on Computational Optimization, Modelling and Simulation (COMS 2014) at ICCS 2014 will summarize the latest developments of optimization and modelling and their applications in science, engineering and industry. This paper reviews the past developments, the state-of-the-art present and the future trends, while highlighting some challenging issues in these areas. It can be expected that future research should focus on the data intensive applications, approximations for computationally expensive methods, combinatorial optimization, and large-scale applications.

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