Integração de ferramentas computacionais para a solução de problemas de otimização em engenharia

Abstract

Optimization problems are common in many areas. In engineering, for exemple, these are modeled considering complexities that, until then, were discarded. That, in order to simplify the simulations during the process of searching for optimal solutions. Commercial software, most of them, consolidated in the market become attractive alternatives in the analysis of optimization problems that require more complex analysis. The use thereof prevents the implementation of computer code that support complex modeling as required for various optimization problems in fluid dynamics, for exemple. It is intended in this work realize the integration of computing tools to solve engineering optimization problems. We used the commercial software Abaqus R© as computational simulation tool and the Python programming language, besides that, a genetic algorithm is used as a search tool together with an adaptive penalty method. Initial experiments are performed in optimization problems commonly found in the literature, showing the desired integration. Thus, it is expected studying optimization problems of greater complexity, which is the main objective of this work.