Optimal design of high-pressure fuel pipe based on vibration response and strength using multi-objective genetic algorithm

AbiarKashani, Mehdi; Vaghasloo, Y. Alizadeh; Agha-Mirsalim, M.

doi:10.1007/s00158-021-02908-0

Cited by 10 publications

(5 citation statements)

References 33 publications

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“…In each gene, 0 indicates that the feature is not in the individual, and 1 indicates that the feature exists in the individual. Each coding sequence represents an individual [ 12 ].…”

Section: Unsupervised Feature Selection Algorithm Based On Genetic Al...mentioning

confidence: 99%

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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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“…In each gene, 0 indicates that the feature is not in the individual, and 1 indicates that the feature exists in the individual. Each coding sequence represents an individual [ 12 ].…”

Section: Unsupervised Feature Selection Algorithm Based On Genetic Al...mentioning

confidence: 99%

“…e following is a brief introduction to these evaluation indicators: CA: judge whether all samples in the cluster are classified into appropriate clusters by giving a label, and evaluate the clustering effect by statistical accuracy. e calculation is shown in formula (12):…”

Section: Algorithm Evaluation Indexmentioning

confidence: 99%

Comprehensive Health Evaluation Model of Art Psychotherapy Using Genetic Algorithm

Zhang

Liu

2022

Computational Intelligence and Neuroscience

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“…For example, information transmission equipment such as RFID, infrared sensors, and global positioning systems can be combined to connect the transported items with the network according to the predetermined agreement, so as to realize the modernization and high-tech of transportation. Foreign theories in this regard are also quite mature, such as electronic data interchange systems, which fully realize the close connection between goods and the network and realize the sharing and real-time monitoring of information in logistics distribution [ 6 ]. It is precisely because the foreign cold chain started earlier, so there are many advanced technology, strong strength of third-party logistics enterprises, and even fourth-party logistics enterprises can provide professional cold chain logistics distribution services, so the entire link of foreign cold chain distribution is only 1%–5% of the product loss.…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Distribution Path of Fresh Cold Chain Logistics Based on Genetic Algorithm

Zhang¹

2022

Computational Intelligence and Neuroscience

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The products of the enterprise are the logistics objects of the enterprise. Therefore, the company’s products are the primary factor affecting logistics costs. The products of different enterprises may be different in terms of the type, nature, volume, quality, and physical and chemical properties of the products, which will have different impacts on the cost of logistics activities such as warehousing, transportation, and material handling of enterprises. More and more enterprises have taken the cost of logistics distribution as one of the important indicators affecting the development of enterprises; especially, cold chain logistics has been rapidly developed and valued in recent years, because the requirements of such products for delivery time, distribution efficiency, and distribution environment are very strict, whether the goods can be distributed in a standard and reasonable environment and whether the delivery vehicle can deliver the goods within the time specified by the customer have greatly affected the safety of frozen and refrigerated food. Therefore, this paper reduces the cost of the distributor through the optimization of the distribution path of cold chain logistics and makes the goods distributed can be delivered to the customer faster and more reasonably by establishing an integrated optimization platform, which is of great significance for how to reduce the cost of enterprises. Therefore, this paper starts from the function with the lowest distribution cost as the goal, comprehensively considers the specific characteristics of cold chain logistics, given the relevant constraints, uses the improved genetic algorithm to iterate on the given scheme, sends the improved new scheme to the simulation software for simulation operation, then sends the results obtained by the operation to the genetic algorithm for the next iteration, and repeats it in turn until the prespecified conditions can be terminated. Therefore, this paper summarizes some problems and development status in cold chain logistics and distribution routes by consulting relevant literature, optimizes the scheme by using VRP model combined with constraints, establishes a distribution system model, and finally verifies and analyzes to obtain a more reasonable and satisfactory solution. The innovation of this paper is that the research on the VRP problem is optimized through an improved genetic algorithm, certain improvements have been made in the coding method and the operation of selection, crossover, variation, etc., and the improved genetic algorithm can greatly reduce the number of program iterations. Then, we use the integrated optimization platform to import the solution into FlexSim for simulation, each simulation of the new solution will be transmitted to MATLAB through the Excel table for the next optimization iteration, and we repeat the above steps until the preset conditions are met after the termination. This would lead to a more realistic and satisfactory solution.

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“…A biological individual is considered a response to the optimization algorithm in a genetic algorithm, a random search algorithm [10]. The population, which consists of many individuals, is the algorithm's solution set.…”

Section: Related Theory Of Genetic Optimization Algorithmmentioning

confidence: 99%

An Evaluation Method of English Composition Automatic Grading Based on Genetic Optimization Algorithm and CNN Model

Wang

2023

IJACSA

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In response to the problems of traditional genetic algorithms in evaluating English compositions, the stability of automatic grading of English compositions has been further enhanced. This article evaluates the teaching effectiveness of automatic grading of English compositions using an optimization fusion algorithm combined with genetic optimization algorithm and CNN model. By analyzing genetic content and optimization algorithms, a corresponding fusion optimization model was obtained, and the automatic evaluation of English compositions was analyzed and predicted through experimental verification. The results indicate that the curves corresponding to different parameters exhibit typical segmentation features through the variation curves of individual numbers under different scale factors. And through quantitative description and analysis of the curve, it can be seen that the change in proportion factor has an absolute advantage in the impact of genetic algorithm on the number of children. As the number of samples increases, the performance of genetic optimization algorithms under the f function shows an upward trend. Research has shown that the writing content index has the greatest impact on English writing, while the corresponding grammar errors have the smallest impact on English writing. Finally, the accuracy of the optimized model was verified by comparing the model curve with experimental data. This study provides theoretical support for the use of genetic optimization algorithms and CNN models in English, and provides ideas for the use of optimization algorithms in other fields.

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Optimal design of high-pressure fuel pipe based on vibration response and strength using multi-objective genetic algorithm

Cited by 10 publications

References 33 publications

Comprehensive Health Evaluation Model of Art Psychotherapy Using Genetic Algorithm

Comprehensive Health Evaluation Model of Art Psychotherapy Using Genetic Algorithm

The Optimization of Distribution Path of Fresh Cold Chain Logistics Based on Genetic Algorithm

An Evaluation Method of English Composition Automatic Grading Based on Genetic Optimization Algorithm and CNN Model

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