Exploring the Impact of Big Bang-Big Crunch Algorithm Parameters on Welded Beam Design Problem Resolution

A Metaheuristic Optimization is a group of algorithms that are widely studied and employed in the scientific literature. Typically, metaheuristics utilize stochastic operators make each iteration unique, they frequently contain controlling parameters have an impact on convergence process since their impacts mostly neglected most optimization literature, making it difficult to draw conclusions. This paper introduced Big Bang-Big Crunch (BB-BC) metaheuristic algorithm evaluate performance relation its control parameter. It also demonstrates effects varying values BB-BC solving. The "Welded Beam Design problem" well-known engineering problem classified as Single-Objective Constrained issue. Multiple starting parameter for evaluated part experimental findings. done attempt find algorithm's optimal settings. lowest, maximum, mean penalized objective functions then computed. Finally, results compared with various algorithms.