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.
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