Háskólinn í ReykjavíkReykjavik UniversityKoziel, SlawomirBekasiewicz, Adrian2019-04-102019-04-102015-09-23Koziel, S., & Bekasiewicz, A. (2015). Recent developments in simulation-driven multi-objective design of antennas, Bulletin of the Polish Academy of Sciences Technical Sciences, 63(3), 781-789. doi: https://doi.org/10.1515/bpasts-2015-00890239-75282300-1917 (eISSN)https://hdl.handle.net/20.500.11815/1106Publisher's version (útgefin grein)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.781-789eninfo:eu-repo/semantics/openAccessComputer aided designAntenna designMulti-objective optimizationSurrogate modelsEvolutionary algorithmsParticle swarm optimizationGenetic algorithmModelsLoftnetTölvustudd hönnunBestunReikniritinfo:eu-repo/semantics/articleBulletin of the Polish Academy of Sciences Technical Sciences10.1515/bpasts-2015-0089