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

An accelerated firey algorithm (afa) for fast size optimization of trussstructures is proposed in this paper. metaheuristic rey algorithm has been recentlydeveloped and its eectiveness in solving practical problems such as sizing optimization oftruss structures has not been thoroughly explored. the numerical experiments show thatalthough the standard firey algorithm (fa) is a powerful approach for truss optimization,it suers from slow rate of convergence, and hence it should be modied to solve real-lifeproblems. the proposed afa imposes some improvements on the searching procedureby both reduction of randomness and scaling the random term in reies' motion. theeectiveness and robustness of the algorithm are investigated by solving some benchmarkproblems. the results revealed that the proposed afa remarkably enhances the rate ofconvergence and stability of standard rey algorithm.