Maximizing First Natural Frequency of 2D Structures Using Bee Colony Optimization (BCO) and Fuzzy Logic

Nowadays, different methods are used to solve the optimization problems. One of the newest methods is BCO, which is inspired of the nature and derived from bee’s interacting with each other. It can be noted that BCO is derived from the bees’ social life. In this paper, the fuzzy logic is used for bee’s decision stage. In a nutshell, we solve two different problems that have already been solved by ESO (Evolution Structural Optimization) and BESO (Bi direction Evolution Structural Optimization) methods. In this study we demonstrate that the BCO is able to achieve better solutions and it is quite appropriate even for constrained problems.