... Multi-objective design Surrogate modeling Simulation-driven design Kriging interpolation Design trade-offs (2) α ( f ) = [ α 1 ( f )   …   α n − N ( f ) ] T = D 2 [ | x d v n ( 1 ) ( f ) |     …     | x d v n ( n − N...

... 2019 Emerald Publishing Limited Licensed re-use rights only Computer-aided design Simulation-driven design Antenna design Input characteristics Trust-region methods Updating formulas Antenna response sensitivity Finite differentiation Design of modern antennas is a comprehensive...

... methods Updating formulas Input characteristics Simulation-driven design Antennas are fundamental components of wireless communications systems with wide applications in telecommunication, remote sensing, radars, biomedicine and other areas (Balanis, 2008 ; Elliott, 2003 ; Hansen, 2009...

... as model selection techniques, allows for considerable reduction of the antenna optimization cost compared to conventional methods. Research limitations/implications The study demonstrates feasibility of EM-simulation-driven design optimization of antennas at low computational cost. The presented...

...) Antenna miniaturization Compact antennas Simulation-driven design Surrogate-based optimization Ultra-wideband (UWB) technology has become extremely popular due to its numerous advantages that include high-speed data rate, low power consumption, as well as low cost (Bod et al., 2012...

... Multi-objective optimization Simulation-driven design Antenna design Co-kriging Variable-fidelity EM analysis Design closure of contemporary antenna structures is a challenging process that has to be based – for reliability reasons – on full-wave electromagnetic (EM) analysis. The major...

... at: koziel@ru.is © Emerald Group Publishing Limited 2016 Simulation-driven design Computer-aided design (CAD) Geometry scaling Inverse modeling Microwave structures Surrogate modeling Contemporary engineering design is heavily based on computer simulation models (Qing and Chen, 2009...