A new accelerated re y algorithm for size optimization of truss structures

An Accelerated Fire y Algorithm (AFA) for fast size optimization of truss structures is proposed in this paper. Metaheuristic re y algorithm has been recently developed and its eectiveness in solving practical problems such as sizing optimization of truss structures has not been thoroughly explored. The numerical experiments show that although the standard Fire y Algorithm (FA) is a powerful approach for truss optimization, it suers from slow rate of convergence, and hence it should be modied to solve real-life problems. The proposed AFA imposes some improvements on the searching procedure by both reduction of randomness and scaling the random term in re iesʹ motion. The eectiveness and robustness of the algorithm are investigated by solving some benchmark problems. The results revealed that the proposed AFA remarkably enhances the rate of convergence and stability of standard re y algorithm.