بهینه سازی وزن قاب های فالادی با استفاده از الگوریتم ژنتیک

optimization of structures for minimum weight has become important in the recent designs. in this study, a genetic optimization algorithm for weight minimization of steel frames has been used. the genetic algorithm is an optimization and search technique based on the principles of genetics and natural selection. constraints regarding material strength and serviceability are taken from “aisc code (1989)” and implemented in the algorithm. the design process obtains a frame and bracing pattern with the least weight by selecting appropriate sections for beams, columns and bracing members from the standard set of steel sections. the results of this study indicates that the optimization based on weight minimization is also able to improve structural performance.