Multi-Objective Optimization of an Elastic Rod with Viscous Termination
Autor: | Siyuan Xing, Jian-Qiao Sun |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Mathematical and Computational Applications, Vol 27, Iss 6, p 94 (2022) |
Druh dokumentu: | article |
ISSN: | 2297-8747 1300-686X 64697908 |
DOI: | 10.3390/mca27060094 |
Popis: | In this paper, we study the multi-objective optimization of the viscous boundary condition of an elastic rod using a hybrid method combining a genetic algorithm and simple cell mapping (GA-SCM). The method proceeds with the NSGAII algorithm to seek a rough Pareto set, followed by a local recovery process based on one-step simple cell mapping to complete the branch of the Pareto set. To accelerate computation, the rod response under impulsive loading is calculated with a particular solution method that provides accurate structural responses with less computational effort. The Pareto set and Pareto front of a case study are obtained with the GA-SCM hybrid method. Optimal designs of each objective function are illustrated through numerical simulations. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |