Aplicabilidade dos Algoritmos Genéticos na Engenharia Civil

Abstract

This work aims to demonstrate the applicability of Genetic Algorithms in the field of Civil Engineering as another tool that uses computational techniques to find better solutions for optimization of structures, aiming to find solutions that lead to a better use of resources, lower costs, and high performance, among others. Genetic Algorithms (AGs) are search and optimization techniques based on the Darwinian model of the evolution of living beings. In the last decades, numerous applications of GAs have arisen in the fields of Engineering and Computing, showing its wide applicability. In this work some applications of GAs within Civil Engineering are described, particularly focusing on the nature of the problems involved. The role of genetic algorithms as an engineering method is discussed, as well as some future perspectives are examined. In this paper, we present the main techniques and parameters used by several authors in this theme, highlighting their use in the optimization of highways and beams. The results are compared with those obtained by other authors. These results demonstrate that the implemented methodology allows obtaining works that satisfy the conditions initially imposed with an evident reduction of expenses, being the most economical possible