Modular platform optimization in conceptual vehicle body design via modified graph-based decomposition algorithm and cost-based priority method

Hou, Wenbin; Shan, Chunlai; Ye, Yu; Hu, Peng; Zhang, Hongzhe

doi:10.1007/s00158-016-1629-5

Cited by 10 publications

(1 citation statement)

References 20 publications

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“…e principle of the optimal sequence diagram method is to compare and analyze the importance of each factor to the goal through the means of matrix illustration, and the purpose is to provide a basis for managers to make decisions [21,22]. e optimal sequence diagram method is based on the number n of factors to be compared, and numbering the n factors.…”

Section: Sequence Diagrammentioning

confidence: 99%

[Retracted] Construction of a Complex System Based on Big Data for the Intelligent Service System of Youth Physical Health

Song²,

Rochester

et al. 2021

Complexity

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The progress of social economy has created a better environment for the healthy development of young people, but the heavy schoolwork and life pressure have caused many students to ignore the scientific management of physical health. At this stage, people need a scientific physical health service system to help students understand their own health data, propose targeted exercise methods and health knowledge, and actively encourage and guide students to participate in physical exercise. The purpose of this article is to cultivate students’ good self-exercise awareness and improve their physical fitness and health. To this end, this article has designed a smart health service system for young people. This article introduces the various service functions in the health management service system and explains in detail the entry, induction, and analysis of student physical health data in the system. The essence of the health intelligent service system is to provide students with targeted healthy exercise strategies through data analysis. This paper studies the health intervention plan of the health intelligent service system. From the experimental data, the improved particle swarm algorithm in this paper increases the effectiveness of the system in adolescent health data mining from 80.5% to 92.19%, which undoubtedly optimizes the system. It helps a lot.

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Section: Sequence Diagrammentioning

confidence: 99%