Meander Line Antenna Design Using an Adaptive Genetic Algorithm

Yuki Sato, Felipe Campelo, Hajime Igarashi

Research output: Contribution to journalArticlepeer-review


This paper presents the optimization of a meander line antenna finite-element model by means of an adaptive genetic algorithm (GA). To search for optimal antenna configurations, the present method employs a GA with an adaptive method that adjusts the characteristics of its selection, crossover, and mutation operators in order to maintain a diverse set of high-quality candidate solutions during its execution. It is shown that the present method can find an optimal solution faster than the conventional GA. Moreover, the fitness values of the optimal solutions obtained by the present method are better than those obtained by conventional GA.
Original languageEnglish
Pages (from-to)1889 - 1892
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number5
Publication statusPublished - May 2013


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