Efficient Truss Design: A Hybrid Geometric Mean Optimizer for Better Performance
Trefwoorden:
diferential evolution (DE), genetic algorithms (GAs), particle swarm optimization (PSO), Ant colony optimization (ACO)Samenvatting
Because of their efficacy in solving complicated optimization issues, metaheuristic approaches are finding more and more applications in engineering and research. When it comes to optimizing multimodal functions with actual values, Price [1] highlight
ed the effectiveness of differential evolution (DE), an evolutionary technique that is both simple and powerful. Results from 11 out of 15 test functions demonstrate that DE achieves faster solutions
than several modern optimization approaches