A swarm optimizer with modified feasible-based mechanism for optimum structure in steel industry

This study proposes a swarm optimizer with modified feasible-based mechanism approach for finding an optimum design steel frames. The proposed optimization addresses the problem of stagnation possibility in traditional particle which none particles tries to explore position better than previous best multiple numbers iterations. method is based on accelerated and big bang–big crunch algorithms. In addition, used correct particle’s position. new method’s performance evaluated by solving two structural problems minimize weight results show that optimized designs obtained algorithm are those found competing algorithms from literature.