Kiani, MortezaYıldız, Ali Rıza2021-03-202021-03-2020161134-30601886-1784http://doi.org/10.1007/s11831-015-9155-yhttps://hdl.handle.net/20.500.12885/1039In this paper, metamodeling and five well-known metaheuristic optimization algorithms were used to reduce the weight and improve crash and NVH attributes of a vehicle simultaneously. A high-fidelity full vehicle model is used to analyze peak acceleration, intrusion and component's internal-energy under Full-Frontal, Offset-Frontal, and Side crash scenarios as well as vehicle natural frequencies. The radial basis functions method is used to approximate the structural responses. A nonlinear surrogate-based mass minimization was formulated and solved by five different optimization algorithms under crash-vibration constraints. The performance of these algorithms is investigated and discussed.eninfo:eu-repo/semantics/closedAccess[No Keywords]Review Article10.1007/s11831-015-9155-y234723734WOS:000387402200006Q1Q1