Optimization of double layer grids using genetic algorithm method

The main purpose of design in civil engineering is to establish a project which has the most versatility on the expected needs and existing conditions. Through optimization this is equivalent to determination of a group of design variables that cause minimizing the object function versus imposed loads, restraints and predetermined parameters. In this research, genetic algorithm method is used to design optimally the double layer grids. Furthermore, in this research the cross section of the members and the depth of the double layer grid are taken as the continuous variants, while the weight of the structure is set as the object function. Also the versatility of the genetic algorithm method is compared with other methods and for this an example is examined. The programming of the genetic algorithm is done by Matlab software. The adapted restraints for the example of this research consist of deflections of the nodes, stresses and slenderness ratio of the elements. The results show that application of genetic algorithm is very versatile for optimization of double layer grids.