Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm

• DOI: 10.1016/j.rineng.2024.101859
• Publication Date: 2024-02-05T07:30:31Z
• Authors: Bahareh Etaati; Mehdi Neshat; Amin Abdollahi De...; Navid Salami Pargoo; Mohammed El-Abd; Ali Sadollah; Amir H. Gandomi
• Keywords: Technology; Optimal structural design; Truss optimisation; T; Cooperative coevolutionary algorithms; 0211 other engineering and technologies; Real engineering problem; 02 engineering and technology; Bio-inspired optimisation algorithms; Greedy search

Optimising the shape and size of large-scale truss frames is challenging because there a nonlinear interaction between cross-sectional nodal coordinate forces structures. Meanwhile, combining bar variables creates multi-modal search space with dynamic constraints, making an expensive optimisation engineering problem. Besides, most real problems are large-scale, algorithms faced issue scalability by increasing This paper proposed novel Cooperative Coevolutionary marine predators algorithm combined greedy (CCMPA-GS) for on sizing. The used divide-and-conquer technique to optimise separately. Therefore, in each iteration, CCMPA-GS focuses initially then switches bars tries find best cooperative combination solutions current population using context vector (CV). A embedded following fix remaining violations from structure's stress displacement. alternative strategy compared 13 established genetic, evolutionary, swarm, memetic meta-heuristic algorithms. comparison based optimising two structures consisting 260-bar 314-bar configurations. Experimental results demonstrate that method consistently outperforms other methods, delivering optimal designs superior 52 % 63.4 %, respectively. signifies substantial enhancement performance, highlighting potential as powerful field structural optimisation.