In this investigation, the authors intend to demonstrate the applicability of a recent spotlighted metaheuristic called the great salmon run (TGSR) algorithm for shape and size design of truss structures. The algorithmic functioning of TGSR emulates the annual migration of salmons together with dangers laid through their pathways. In a previous study by the authors, it has been proved that the ...

Through the pseudo-static test on the steel truss coupling beams with buckling-restrained brace, the bearing capacity, deformation capacity, hysteresis curve, skeleton curve, ductility, Energy Dissipation and stiffness degradation of such coupling beam are understood. The test results show that the steel truss coupling beams with buckling-restrained brace is characterized by bigger bearing capa...

Metaheuristic algorithms are preferred by the many researchers to reach the reliability based design optimization (RBDO) of truss structures. The cross-sectional area of the elements of a truss is considered as design variables for the size optimization under frequency constraints. The design of dome truss structures are optimized based on reliability by a popular metaheuristic optimization tec...

this paper uses a psopc model based non-destructive damage identification procedure using frequency and modal data. the objective function formulation for the minimization problem is based on the frequency changes. the method is demonstrated by using a cantilever beam, four-bay plane truss and two-bay two-story plane frame with different scenarios. in this study, the modal data are provided nume...

A novel parameterization concept for structural truss topology optimization is presented in this article that enables the use of evolutionary algorithms in design of large-scale structures. The representational power of Boolean networks is used here to parameterize truss topology. A genetic algorithm then operates on parameters that govern the generation of truss topologies using this random ne...

Distributed Genetic Algorithm (DGA) is one of optimization methods and very suitable to parallel computers. Therefore, DGA is a very effective tool in high performance computing. In this paper, we discussed DGAs for designing truss structures. Most of the real world problems in optimization problems have constraints. Since DGA is an algorithm for problems without constraints, the fitness functi...