Multiobjective Optimization of an Off-Road Vehicle Suspension Parameter through a Genetic Algorithm Based on the Particle Swarm Optimization

Peng, Dengzhi; Tan, Gangfeng; Fang, Kekui; Chen, Li; Agyeman, Philip; Zhang, Yuxiao

doi:10.1155/2021/9640928

Cited by 26 publications

(23 citation statements)

References 26 publications

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“…GA is a computational model that seeks optimal solutions by imitating biological evolution and natural selection processes [ 22 ]. GA starts with a population that represents a set of solutions to a problem, which is a combination of genetically encoded individuals.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Ideological and Political Education under Deep Learning Neural Network

Wang

2022

Computational Intelligence and Neuroscience

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Under the background of the rapid development of the new generation of information technology, artificial neural networks (ANNs) have made some progress in the evaluation research of various courses in colleges and universities. However, there is little research on the application of ANNs in Ideological and Political Education (IPE) courses. Based on this, this work attempts to introduce the Backpropagation Neural Network (BPNN) into the evaluation system of IPE courses. Firstly, the structure and characteristics of the BPNN are given, and it is optimized by the genetic algorithm based on its characteristics. Secondly, the theoretical framework of IPE course evaluation is established, and the corresponding evaluation model is constructed using the optimized BPNN. Finally, a questionnaire survey is designed to analyze the current situation of IPE evaluation in colleges and universities, and a simulation experiment is set up to test the BPNN evaluation model before and after optimization. The results are as follows. First, there are mainly five evaluation methods for IPE courses in Chinese colleges and universities: 6/4, 3/7, 2/2/6, 5/5, and 3/3/4. Second, the training error value of the BPNN model is in the interval (−2.3, 2.2), and when the number of cycles is 552, the error is infinitely close to zero. Thirdly, the training error value of the optimized BPNN model is in the interval (−0.22, 1.2), and when the number of cycles is 775, the error is infinitely close to zero. Fourthly, the error between the output value of the optimized BPNN model and the expert score value is generally smaller than the error value before optimization. This work aims to provide a theoretical reference for the further application of neural network technology in the evaluation of IPE.

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Section: Methodsmentioning

confidence: 99%

Evaluation of Ideological and Political Education under Deep Learning Neural Network

Wang

2022

Computational Intelligence and Neuroscience

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“…It gives a certain stimulation, but it does not regulate what content to paint at the same time. In addition, the final analysis of this technology is not for the painting content of the subjects, but for the nature of the changes made by the subjects on the given stimulus [ 5 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Comprehensive Health Evaluation Model of Art Psychotherapy Using Genetic Algorithm

Zhang

Liu

2022

Computational Intelligence and Neuroscience

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In order to explore the real effect of art mental health therapy, this paper proposes a feature selection algorithm based on genetic algorithm. The algorithm takes college students as the research object and discusses the effect of psychotherapy on college students through painting art therapy. The results showed that there were extremely significant differences in EPQ extraversion factors among the people treated with the educational intervention of art psychology course ( P < 0.01 ), and there was no significant change in other factors ( P > 0.05 ). There was no significant change in total depression score and depression index ( P > 0.05 ). There were significant differences in social avoidance factors and social anxiety ( P < 0.05 ), and there were relatively significant differences in the total score of sadness ( P < 0.01 ). It is concluded that the use of artistic elements can effectively help people express themselves and express their psychological emotions, which has a certain effect in mental health treatment.

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“…erefore, this essay adopts membership function s(t k i ) to represent customer satisfaction with time, as shown in formula (1) [15].…”

Section: Constraints On the Modelmentioning

confidence: 99%

Logistics Information Intelligent Platform Based on Dynamic Network Data

Kang

2022

Security and Communication Networks

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In order to reduce the carbon emissions of cold chain logistics and promote the construction of ecological civilization, a logistics distribution path optimization model with the minimum total cost as the objective function under the carbon tax system was proposed. The model comprehensively considers the technical advantages of the Internet of things and the characteristics of cold chain logistics; introduces soft time window, customer satisfaction, and carbon emissions as the main constraint conditions; uses the improved genetic algorithm to solve the mathematical model; uses Matlab to encode; and shows the effectiveness and rationality of the model and algorithm through examples. The experimental results show that: The total cost is 9917.12 yuan, customer satisfaction is 97.07%, carbon emission is 161.06 kg, carbon tax is 5.64 yuan/ton, fixed cost is 600 yuan, transportation cost is 72.72 yuan, refrigeration cost is 8811.73 yuan, cargo damage cost is 427.03 yuan, penalty cost is 0 yuan, The validity of the algorithm and the rationality of the model are verified. When enterprises add a carbon tax constraint, the total cost of cold chain distribution is reduced, and the carbon emission is reduced compared with that without carbon tax. The research can provide a reference for enterprise cold chain logistics distribution decisions.

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Multiobjective Optimization of an Off-Road Vehicle Suspension Parameter through a Genetic Algorithm Based on the Particle Swarm Optimization

Cited by 26 publications

References 26 publications

Evaluation of Ideological and Political Education under Deep Learning Neural Network

Evaluation of Ideological and Political Education under Deep Learning Neural Network

Comprehensive Health Evaluation Model of Art Psychotherapy Using Genetic Algorithm

Logistics Information Intelligent Platform Based on Dynamic Network Data

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