Optimizing Welded Beam Design Using Gorilla Troop Optimization: An Innovative Engineering Approach

To address complex optimization challenges in engineering, such as the welded beam design (WBD) problem, this research work introduces the Artificial Gorilla Troops Optimizer (GTO), an innovative technique inspired by the social intelligence demonstrated by real-life gorilla troops due to certain limitation in traditional optimization methods such as slow convergence. This work presents mathematical formulations capturing gorilla group dynamics and introduces exploration and exploitation mechanisms. A comparative analysis with the traditional Particle Swarm Optimization (PSO) algorithm shows that GTO achieves a 19 % lower optimal value than PSO. Furthermore, statistical analysis further validates the GTO accuracy, robustness, and competitiveness, demonstrating a better solution and convergence rate than PSO.