Implementing designer’s preferences using fuzzy logic and Genetic Algorithm in structural optimization: Fid-Bau Portal

Implementing designer’s preferences using fuzzy logic and Genetic Algorithm in structural optimization

Yazdi, Hassanali Mosalman

Abstract Uncertainty and vagueness of required data, boundary conditions, incomprehensive modeling of objective functions and their level of importance are among numerous problems with which designers are dealing in optimizing structures. In this regard, the importance levels of the objective functions such as material weight and system stiffness, which are presented by linguistic statements, are very important to improve the optimization results. In this paper, a novel two-grade evaluation method is proposed to model the pre-set condition statements. Then, for optimization of structure with multiple functions, a multi - objective genetic algorithm is integrated with the fuzzy logic inference system. To validate the proposed method, an Off Center Braced frame system (OCB) is modeled. Then, a MATLAB program is developed for the fuzzy multi-objective calculations. The results demonstrated good accuracy of the proposed method in structural optimization by using designer linguistic information.Hence, by this method designer’s experiences can be applied as linguistic statements in designing procedures to catch the optimum results which is more precise than other methods using only Genetic Algorithms.