Genetic Algorithm Optimization of Beams in Terms of Maximizing Gaps between Adjacent Frequencies

The aim of this paper is to optimize the thickness variation function simply supported and cantilever beams, in terms maximizing gaps between chosen neighboring frequencies, analyze obtained results. optimization results are examined achieving objective (related eigenvalue problems), but also their dynamic stiffness (forced vibrations excited by a point harmonic load). In process, genetic algorithm was used. Problems related structural dynamics were solved FEM implementation into algorithm. Sample presented, developed analyzed convergence examining several variable parameters. authors demonstrated validity applying described tool presented problems. Conclusions drawn regarding correlation mass distribution optimized beams natural frequency modes which they optimized.