Application of Adaptive Genetic Algorithms on Optimization Design of Truss Structure

Crossover operator and mutation operator are the main methods that generate new individuals in genetic algorithms. Because of the simple GA's shortcomings, that are,crossover probability and mutation probability keep constant, adaptive crossover probability and mutation probability in the research of GA for discrete variables optimization design is presented in this paper. The optimal results are compared with the solutions that are obtained by the fully stress method by examples on optimum design for a statically determinate truss structure and a statically indeterminate one with discrete variables. The results indicate that the algorithm proposed in this paper is effective and feasible.