Maximizing First Natural Frequency Of 2D Structures Using Bee Colony Optimization (BCO) and fuzzy logic

Nowadays, different methods are used to solve optimization problems which ,one of the newest is BCO method that are inspired by the nature and derived from the social life of bees of these methods can be noted that BCO is derived from the social life of bees. We use in this paper fuzzy logic for bee‟s decision stage. at the end, we solve two different problem that have already been solved by ESO (Evolution Structural Optimization ) and BESO (Bi direction Evolution Structural Optimization ) methods. In this paper we indicate BCO is able to achieve better solutions and this method is quite proper even for constrained problems.