In this paper, the developed swarm optimizer alongside a modified feasible-based mechanism is presented to find the optimum design of the steel frames. The main idea of this optimization technique is derived from the fact that in the traditional particle swarm optimization, there is a possibility for stagnation in which none of the particles tries to explore a position better than the previous best position for multiple numbers of iterations. This method is based on accelerated particle swarm optimization and big bang-big crunch optimization algorithms. Also, a modified feasible-based mechanism is utilized to correct the particle's position. The performance of the new method is evaluated by solving some structural problems and the objective is to minimize the weight of these steel frames. The optimized designs obtained by the proposed algorithm are better than those found by other algorithms from the literature.
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