Generalized Pareto ranking bisection for computationally feasible multiobjective antenna optimization

Multiobjective optimization (MO) allows for obtaining comprehensive information about possible design trade‐offs of a given antenna structure. Yet, executing MO using the most popular class of techniques, population‐based metaheuristics, may be computationally prohibitive when full‐wave EM analysis...

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Vydané v:	International journal of RF and microwave computer-aided engineering Ročník 28; číslo 8; s. e21406 - n/a
Hlavní autori:	Unnsteinsson, Sigmar D., Koziel, Slawomir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken John Wiley & Sons, Inc 01.10.2018
Predmet:	Algorithms antenna design generalized bisection algorithm Iterative methods Local optimization Monopole antennas multiobjective optimization Multiple objective analysis Parameter identification Pareto optimization Pareto ranking Ranking simulation‐driven design variable‐fidelity simulations
ISSN:	1096-4290, 1099-047X
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