Support Position Optimization of Structural Fundamental Frequency Using Genetic Algorithm

Abstract: An new generalized genetic algorithm was presented to optimize the support positions of structures in this paper. Many new theories such as integer code, real code, population isolation, arithmetical crossover and unequal random mutation were used. Numerical examples demonstrate that this generalized genetic algorithm can optimize support positions as both elastic and bending rigidity are considered. The method presented in this paper has extensive applicability in complicated optimization problem of support positions