Cited by Physics-based numerical implementation framework towardsmuti-scale contact problem

Multi-objective optimization and accelerated experimental research on load distribution of planetary roller screw mechanism DOI

Rui Hu, Peitang Wei,

Xuesong Du

et al.

Tribology International, Journal Year: 2024, Volume and Issue: 199, P. 110046 - 110046

Published: Nov. 1, 2024

Language: Английский

Citations

An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems DOI

Fan Cao, Zhili Tang, Caicheng Zhu

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(18), P. 3844 - 3844

Published: Sept. 7, 2023

Aerodynamic shape optimization is frequently complicated and challenging due to the involvement of multiple objectives, large-scale decision variables, expensive cost function evaluation. This paper presents a bilayer parallel hybrid algorithm framework coupling multi-objective local search global evolution mechanism improve efficiency convergence accuracy in high-dimensional design space. Specifically, an efficient (MOHA) gradient-based surrogate-assisted (GS-MOHA) are developed under this framework. In MOHA, novel gradient operator proposed accelerate exploration Pareto front, it introduces new individuals enhance diversity population. Afterward, MOHA achieves trade-off between exploitation by selecting elite space during evolutionary process. Furthermore, based on gradient-enhanced Kriging with partial least squares(GEKPLS) approach established engineering applicability MOHA. The results benchmark functions demonstrate that less constrained dimensionality can solve problems (MOPs) up 1000 variables. Compared existing MOEAs, demonstrates notable enhancements accuracy, specifically achieving remarkable 5–10 times increase efficiency. addition, GS-MOHA approximately five MOEA/D-EGO twice K-RVEA 30-dimensional test functions. Finally, airfoil validate effectiveness algorithms their potential for applications.

Language: Английский

Citations

Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget DOI

Wei Hua, Qi Zhou, Tom Dhaene

et al.

Journal of Engineering Design, Journal Year: 2024, Volume and Issue: 35(3), P. 241 - 262

Published: Jan. 23, 2024

Many real-world engineering design optimisation problems encounter input uncertainties, which may introduce undesired fluctuations in performance or even make the solution infeasible. Robust (RDO) is widely studied due to its ability deal with uncertainties. RDO methods require many evaluations generally, prohibitive when relying on expensive simulations. Surrogate-assisted can help reduce number of simulation calls. An improved constrained multi-objective efficient robust global method (CMO-ERGO) proposed this work, combines expected improvement ERGO probability feasibility. CMO-ERGO improves framework and quantifies robustness objective constraint functions using an analytical uncertainty quantification based Kriging surrogate. The tested three numerical benchmark applied a metamaterial vibration isolator honeycomb structure explore solving applications. optimal solutions demonstrated Monte Carlo Method. Moreover, comparisons between several existing illustrate effectiveness efficiency CMO-ERGO.

Language: Английский

Citations

Self-organizing surrogate-assisted non-dominated sorting differential evolution DOI

A.F.R. Araujo, Lucas R. C. Farias,

Antônio R.C. Gonçalves

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101703 - 101703

Published: Aug. 20, 2024

Language: Английский

Citations

Physics-based numerical implementation framework towardsmuti-scale contact problem DOI

Tao Yang,

Xiongfeng Tang,

Zhixue Yan

et al.

Tribology International, Journal Year: 2024, Volume and Issue: unknown, P. 110297 - 110297

Published: Oct. 1, 2024

Language: Английский

Citations