Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm

Wang, Chao; Koh, Jin; Yu, Tiantang; Xie, Neng Gang; Cheong, Kang Hao

doi:10.1016/j.cma.2020.113017

Cited by 57 publications

(11 citation statements)

References 75 publications

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“…In order to ensure the credibility of Web big data, a whole platform is designed that integrates storage, processing, searching, visualization and data mining functions. The proposed platform can process and store various data, and integrate data collected, it can confirm the credibility of data, and can achieve data modeling and visualization operations [5].…”

Section: Framework Of Web Big Datamentioning

confidence: 99%

Credibility Evaluation of Web Big Data Information Based on Particle Swarm Optimization

Zhao

2022

JWE

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In order to improve the credibility evaluation effectiveness of web big data information, the improved particle swarm optimization is established. Firstly, framework of web big data is designed to include web big data source, data storage, data processing and data analysis. The global credibility calculation formula of whole web is established. Secondly, the improved particle swarm algorithm is constructed through updating weight and training factor, introducing cross and mutation operations into the algorithm, and improving population diversification based on mountain climbing algorithm. Finally, ten sample industries and one hundred sample stocks are selected to carry out experiment analysis, and the results show that the proposed algorithm can effectively distinguish trusted and untrustworthy records. And the proposed algorithm of calculating credibility of web big data has high reasonableness.

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Section: Framework Of Web Big Datamentioning

confidence: 99%

Credibility Evaluation of Web Big Data Information Based on Particle Swarm Optimization

Zhao

2022

JWE

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“…Combining an additional individual weight ϑ i,j with the tensor product of B-spline basis functions in two parametric dimensions ξ and η with two knot vectors Ψ(ξ) = {ξ 1 = 0,..., ξ i ,..., ξ m+p+1 = 1} and Ψ(η) = {η 1 = 0,..., η j ,..., η n+q+1 = 1}, the two-dimensional (2D) NURBS basis function can be written as [40]…”

Section: Basis Functionsmentioning

confidence: 99%

A Simple-FSDT-Based Isogeometric Method for Piezoelectric Functionally Graded Plates

Liu

Wang

et al. 2020

Mathematics

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An efficient isogeometric analysis method (IGA) based on a simple first-order shear deformation theory is presented to study free vibration, static bending response, dynamic response, and active control of functionally graded plates (FGPs) integrated with piezoelectric layers. Based on the neutral surface, isogeometric finite element motion equations of piezoelectric functionally graded plates (PFGPs) are derived using the linear piezoelectric constitutive equation and Hamilton’s principle. The convergence and accuracy of the method for PFGPs with various mechanical and electrical boundary conditions have been investigated via free vibration analysis. In the dynamic analysis, both time-varying mechanical and electrical loads are involved. A closed-loop control method, including displacement feedback control and velocity feedback control, is applied to the static bending control and the dynamic vibration control analysis. The numerical results obtained are accurate and reliable through comparisons with various numerical and analytical examples.

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“…Brammya et al (2019) proposed the Deer Hunting Optimization Algorithm (DHOA) as an optimization algorithm, which considers the behavior humans exhibit when hunting deer. Besides, the most important application of these algorithms can be in dealing with engineering design problems including the stress-based topology optimization by Xia et al (2018), material and shape optimization of structures by Wang et al (2020), structural engineering design by Zhao et al (2018), optimization of phase change material and insulation layer thickness (Daqiqnia et al 2021), performance-based structural design optimization by Gholizadeh et al (2020), and Optimal design of structures by Gholizadeh and Salajegheh (2009).…”

Section: Introductionmentioning

confidence: 99%

Fire Hawk Optimizer: a novel metaheuristic algorithm

2022

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This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm based on the foraging behavior of whistling kites, black kites and brown falcons. These birds are termed Fire Hawks considering the specific actions they perform to catch prey in nature, specifically by means of setting fire. Utilizing the proposed algorithm, a numerical investigation was conducted on 233 mathematical test functions with dimensions of 2–100, and 150,000 function evaluations were performed for optimization purposes. For comparison, a total of ten different classical and new metaheuristic algorithms were utilized as alternative approaches. The statistical measurements include the best, mean, median, and standard deviation of 100 independent optimization runs, while well-known statistical analyses, such as Kolmogorov–Smirnov, Wilcoxon, Mann–Whitney, Kruskal–Wallis, and Post-Hoc analysis, were also conducted. The obtained results prove that the FHO algorithm exhibits better performance than the compared algorithms from literature. In addition, two of the latest Competitions on Evolutionary Computation (CEC), such as CEC 2020 on bound constraint problems and CEC 2020 on real-world optimization problems including the well-known mechanical engineering design problems, were considered for performance evaluation of the FHO algorithm, which further demonstrated the superior capability of the optimizer over other metaheuristic algorithms in literature. The capability of the FHO is also evaluated in dealing with two of the real-size structural frames with 15 and 24 stories in which the new method outperforms the previously developed metaheuristics.

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Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm

Cited by 57 publications

References 75 publications

Credibility Evaluation of Web Big Data Information Based on Particle Swarm Optimization

Credibility Evaluation of Web Big Data Information Based on Particle Swarm Optimization

A Simple-FSDT-Based Isogeometric Method for Piezoelectric Functionally Graded Plates

Fire Hawk Optimizer: a novel metaheuristic algorithm

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