Genetic algorithms (GAs) are a class of population-based metaheuristic search methods inspired by principles of natural selection and evolution. They solve complex optimisation problems by encoding ...

In this study, a novel hybrid metaheuristic algorithm, termed (BES–GO), is proposed for solving benchmark structural design optimization problems, including welded beam design, three-bar truss system ...