Creation of a Genetic Algorithm to Locate the Optimal Position of Columns in a Regular Building
Keywords:
Genetic algorithm, Building design, Optimal design, Column position optimization, Building cost.Abstract
The construction of buildings needs to consider a considerable number of variables and design rules to verify the structural integrity of the building. These rules require to consider the actions in the environment of the construction, the purpose of the building and the construction materials. The growing demand for taller and efficient buildings (safety rules and structural rules stricter) and the increasing prices of the construction’s materials lead the engineers to find better ways to optimize the building for its propose and still complies all the structural rules. Thus, the use of optimization algorithms to accomplish a certain goal be usen more often. So, in this work we will use a Genetic Algorithm (GA) to determine a better position of columns in a regular and orthogonal building which the chosen goal is smaller. To accomplish this, we will use two different goals (weight and cost), two structural typologies (concrete and steel typology) and two different column positions methods. The experimental results indicate that it is possible to find good solutions but additional studies into the GA should be performed to increase the performance of the algorithm.
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