Performances of recent meta-heuristic algorithms on optimizing the design of steel structures

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Abstract

This study investigates the performance of three recently developed meta-heuristic optimization algorithms, i.e., tree-seed optimization (TSO), crow search algorithm (CSA), and symbiotic organisms search (SOS), by applying them to optimize the designs of sinusoidal web opening beams and large-scale space truss systems. For sinusoidal beam optimization, evaluation capacity and design principles, based on the Eurocode specification, are considered as the design constraints. A profile chart is developed for the beam design based on the design variables of the gap graphic design of the section and sinusoidal beam selected. The basic principles and specifications outlined by the American Institute of Steel Construction (AISC) Allowable Stress Design (ASD) and Load and Resistance Factor Design (LRFD) are also considered as the design constraints. Finally, the weight optimizations of the two sinusoidal beams and two space truss systems performed using these optimization algorithms and the performances of the algorithms are discussed based on the results obtained.