Ridged waveguide filter optimization using an improved simplex method

Abstract

In this paper, we apply robust optimizers (i. e. the simplex method and the genetic algorithm) to rectangular ridged waveguide filter design. We extend the use of the simplex method to the design of high performance filters in narrower relative bandwidth. The proposed optimization tool is successfully applied to narrower bandwidth of four pole and six pole rectangular ridged waveguide filters. The results outperform those produced by the conventional simplex method and genetic algorithm.

Development of a mathematical model of microwave filter based on the partially filled cross-shaped waveguide-dielectric resonators

“…The presence of both strict multimode electrodynamic models and efficient methods of optimization is neces-sary for solving the problem of optimization of the filters designs. Among the latter, preferable are contemporary methods of the artificial intelligence, such as genetic algorithms [4], artificial neural networks [5] and, in particular, expert systems. The key idea of the proposed method of intellectual synthesis and optimization of multitier WDR-filters is the logical analysis of frequency response, which is calculated on the basis of the mathematical model [6].…”

Spiralinių ir meandrinių lėtinimo sistemų dažninių savybių tyrimas

“…Dėl šių priežasčių DNT naudojimo sritis labai plati: kalbos apdorojimas, vaizdų apdorojimas, signalų apdorojimas, finansų bei ekonomikos modeliavimas, objektų atpažinimas. Vis dažniau DNT taikomi ir mikrobangų įtaisų modeliavimo srityje: bangolaidžių komponentai (Plonis et al 2010); filtrai (Yahia et al 2010;Michalski 2010); antenų modeliai (Malathi et al 2009); netiesinių įtaisų modeliai (Schreurs et al 2002); netiesinių mikrobangų grandynų optimizavimas (Rizzoli et al 2004) ir t. t.…”

Intellectual CAD for Three-Tier Wide Band WDR Filters

“…So it seems necessary to take a combined approach where parameters of prototype models serve as input to a numerical optimization procedure using gradient methods based on rigorous electrodynamics models [4,5]. Lately one can notice the intensive attempts of effective search numeral and numeral-analytical algorithms of solving this problem [6,7], including technologies of artificial intelligence [8][9][10]. However much considerable progress nevertheless cannot be achieved, both in areas of universal algorithms development construction and in the applied tasks, concerning this class of devices.…”