Dynamic topology multi force particle swarm optimization algorithm and its application

Chen, Dongning; Zhang, Ruixing; Yao, Chengyu; Zhao, Zheyu

doi:10.3901/cjme.2015.1127.140

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…Under the influence of rainfall and groundwater fluctuation, the residue of heavy metals and harmful elements in the tailings will migrate into the surrounding soil and subsurface water, triggering severe ecological and environmental problems. The barrier technology, aimed at controlling the migration of subsurface contamination, attracts continuous and extensive attentions due to the advantages of cost-effectiveness, construction convenience, eco-friendliness and large-scale treatment (Shackelford 1995;Malusis and Shackelford 2004;Chen 2014;Yang et al 2021;Hu et al 2022). Fan et al (2014) and Xu et al (2016) investigated the barrier performance of the soil-bentonite slurry from the view point of hydraulic conductivity.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of Cu(II)-induced deterioration effects on barrier performance of soil-bentonite slurry

Zha

Qin

et al. 2023

Preprint

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The soil-bentonite (SB) slurry-based barrier technology was successfully used to isolate the heavy metal contaminants at sites. While the heavy metal-induced deterioration effects arouse the urgent need for assessment of the barrier performance. In this study, experimental investigation and theoretical work were performed for quantitative analysis of the deterioration effects. Test results showed that incorporating and increasing the bentonite content in SB slurry could decrease the hydraulic conductivity and increase the contaminant retention of the barrier system. However, after experiencing the Cu(II) contamination, this barrier performance would be rapidly deteriorated and failed to meet the requirement for isolating the contaminated site, especially for Cu(II) concentrations higher than 500mg/L. On this basis, two deterioration parameters were successfully proposed for quantitative analysis of this deterioration effect from the viewpoints of hydraulic conductivity and contaminant retention. In further step, an optimal design method of a barrier system was established and confirmed using the proposed deterioration parameters, for a given service life of barrier system and Cu(II) concentration at contaminated site.

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Section: Introductionmentioning

confidence: 99%

Quantitative analysis of Cu(II)-induced deterioration effects on barrier performance of soil-bentonite slurry

Zha

Qin

et al. 2023

Preprint

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“…Liu et al [17] used topological method to achieve the light-weight design of unmanned aerial vehicle landing gear outer cylinder pillar. Chen et al [18] proposed a dynamic topology multi-force particle swarm optimization algorithm in order to get better performance. Xu [19] applied the guide weight method into the topology optimization used for the arm of flight simulator.…”

Section: Introductionmentioning

confidence: 99%

Light-Weight Design Method for Force-Performance-Structure of Complex Structural Part Based Co-operative Optimization

Tan

Wang

et al. 2018

Chin. J. Mech. Eng.

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A light-weight design method of integrated structural topology and size co-optimization for the force-performancestructure of complex structural parts is presented in this paper. Firstly, the supporting function of a complex structural part is built to map the force transmission, where the force exerted areas and constraints are considered as connecting structure and the structural configuration, to determine the part performance as well as the force routines. Then the connecting structure design model, aiming to optimize the static and dynamic performances on connection configuration, is developed, and the optimum design of the characteristic parameters is carried out by means of the collaborative optimization method, namely, the integrated structural topology optimization and size optimization. In this design model, the objective is to maximize the connecting stiffness. Based on the relationship between the force and the structural configuration of a part, the optimal force transmission routine that can meet the performance requirements is obtained using the structural topology optimization technology. Accordingly, the light-weight design of conceptual configuration for complex parts under multi-objective and multi-condition can be realized. Finally, based on the proposed collaborative optimization design method, the optimal performance and optimal structure of the complex parts with light weight are realized, and the reasonable structural unit configuration and size characteristic parameters are obtained. A bed structure of gantry-type machining center is designed by using the proposed light-weight structure design method in this paper, as an illustrative example. The bed after the design optimization is lighter 8% than original one, and the rail deformation is reduced by 5%. Moreover, the lightweight design of the bed is achieved with enhanced performance to show the effectiveness of the proposed method.

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“…Wang and Liu introduced a chaos search method and promoted the algorithm to jump out of the local optimal solution through the uncertainty of chaos [ 42 ]. Chen and Zhang adopted dynamic topology PSO algorithm in which the structure of the population is changed with the information of particles [ 43 ]. Liang and Kang proposed an adaptive mutation strategy and adopted a nonlinear variable inertia weight strategy [ 44 ].…”

Section: Introductionmentioning

confidence: 99%

A Method of Biomedical Information Classification based on Particle Swarm Optimization with Inertia Weight and Mutation

Zhang

Chen

et al. 2018

Open Life Sciences

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With the rapid development of information technology and biomedical engineering, people can get more and more information. At the same time, they begin to study how to apply the advanced technology in biomedical information. The main research of this paper is to optimize the machine learning method by particle swarm optimization (PSO) and apply it in the classification of biomedical data. In order to improve the performance of the classification model, we compared the different inertia weight strategies and mutation strategies and their combinations with PSO, and obtained the best inertia weight strategy without mutation, the best mutation strategy without inertia weight and the best combination of the two. Then, we used the three PSO algorithms to optimize the parameters of support vector machine in the classification of biomedical data. We found that the PSO algorithm with the combination of inertia weight and mutation strategy and the inertia weight strategy that we proposed could improve the classification accuracy. This study has an important reference value for the prediction of clinical diseases.

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Dynamic topology multi force particle swarm optimization algorithm and its application

Cited by 14 publications

References 19 publications

Quantitative analysis of Cu(II)-induced deterioration effects on barrier performance of soil-bentonite slurry

Quantitative analysis of Cu(II)-induced deterioration effects on barrier performance of soil-bentonite slurry

Light-Weight Design Method for Force-Performance-Structure of Complex Structural Part Based Co-operative Optimization

A Method of Biomedical Information Classification based on Particle Swarm Optimization with Inertia Weight and Mutation

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