Research on the development of college students’ sports program based on multi-objective optimization algorithm

In recent years, the physical fitness of college students has been declining year by year, which has become the focus of national concern. In this paper, firstly, the human body motion tracking based on a multi-objective optimization algorithm is applied in the auxiliary training of college students...

Full description

Saved in:
Bibliographic Details
Published in:Applied mathematics and nonlinear sciences 2024-01, Vol.9 (1)
Main Author: Song, Shuai
Format: Article
Language:English
Subjects:
03D32
Chebyshev function
Exercise load
Human motion tracking
Multi-objective optimization
Pareto optimal solution
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2641-c40d6ed087fdc762c1e0973843930d3a7226743c04ba5cfe92f0acc7140966283
container_end_page
container_issue 1
container_start_page
container_title Applied mathematics and nonlinear sciences
container_volume 9
creator Song, Shuai
description In recent years, the physical fitness of college students has been declining year by year, which has become the focus of national concern. In this paper, firstly, the human body motion tracking based on a multi-objective optimization algorithm is applied in the auxiliary training of college students’ sports to provide data support for the formulation of sports plans, and the Chebyshev function evolution calculation is used to obtain the Pareto optimal solution for sports training. Secondly, the similarity function between the two-dimensional projection of the skeleton and the silhouette of the image is established in the constructed human body model so as to calculate the multi-objective optimization function. The optimized training plan was specifically analyzed after analyzing the sports assessment of college students in X school. The results show that compared with the conventional training plan, the optimized training plan has more sports load intensity indexes distributed between 1.5 and 2.0, indicating that the plan is more scientific and effective. The research presented in this paper can be a valuable resource for the creation of sports programs for college students.
doi_str_mv 10.2478/amns-2024-0021
format article
fullrecord <record><control><sourceid>walterdegruyter_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_18f201e398fb43269ce24f0aa3693283</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_18f201e398fb43269ce24f0aa3693283</doaj_id><sourcerecordid>10_2478_amns_2024_002191</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2641-c40d6ed087fdc762c1e0973843930d3a7226743c04ba5cfe92f0acc7140966283</originalsourceid><addsrcrecordid>eNp1kM1KAzEUhQdRsNRuXecFpuavmZmlFH8KBUF0HdLkzjRlphmTtFJXvoav55OYsSJuXN3Dvfd8cE6WXRI8pbwor1S3DTnFlOcYU3KSjSjnPC_FTJz-0efZJIQNTi-MMCHoKHt5hADK6zVyWxTXgAzsoXV9B9uIXI20a1toAIW4M2kVPt8_UOidjwH13jVedWilApjB3u3aaHO32oCOdg_I9dF29k1Fm46qbZy3cd1dZGe1agNMfuY4e769eZrf58uHu8X8eplrKjjJNcdGgMFlURtdCKoJ4KpgJWcVw4apglJRcKYxX6mZrqGiNVZaF4TjKiUr2ThbHLnGqY3sve2UP0inrPxeON9I5aPVLUhS1hQTYFVZrzijotJAecIpJiqWUIk1PbK0dyF4qH95BMuhfzn0L4f-5dB_MpRHw6tqI3gDjd8dkpAbt_PbFPsfY0XYF2i2jiM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Research on the development of college students’ sports program based on multi-objective optimization algorithm</title><source>DOAJ Directory of Open Access Journals</source><creator>Song, Shuai</creator><creatorcontrib>Song, Shuai</creatorcontrib><description>In recent years, the physical fitness of college students has been declining year by year, which has become the focus of national concern. In this paper, firstly, the human body motion tracking based on a multi-objective optimization algorithm is applied in the auxiliary training of college students’ sports to provide data support for the formulation of sports plans, and the Chebyshev function evolution calculation is used to obtain the Pareto optimal solution for sports training. Secondly, the similarity function between the two-dimensional projection of the skeleton and the silhouette of the image is established in the constructed human body model so as to calculate the multi-objective optimization function. The optimized training plan was specifically analyzed after analyzing the sports assessment of college students in X school. The results show that compared with the conventional training plan, the optimized training plan has more sports load intensity indexes distributed between 1.5 and 2.0, indicating that the plan is more scientific and effective. The research presented in this paper can be a valuable resource for the creation of sports programs for college students.</description><identifier>ISSN: 2444-8656</identifier><identifier>EISSN: 2444-8656</identifier><identifier>DOI: 10.2478/amns-2024-0021</identifier><language>eng</language><publisher>Sciendo</publisher><subject>03D32 ; Chebyshev function ; Exercise load ; Human motion tracking ; Multi-objective optimization ; Pareto optimal solution</subject><ispartof>Applied mathematics and nonlinear sciences, 2024-01, Vol.9 (1)</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2641-c40d6ed087fdc762c1e0973843930d3a7226743c04ba5cfe92f0acc7140966283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2102,27924,27925</link.rule.ids></links><search><creatorcontrib>Song, Shuai</creatorcontrib><title>Research on the development of college students’ sports program based on multi-objective optimization algorithm</title><title>Applied mathematics and nonlinear sciences</title><description>In recent years, the physical fitness of college students has been declining year by year, which has become the focus of national concern. In this paper, firstly, the human body motion tracking based on a multi-objective optimization algorithm is applied in the auxiliary training of college students’ sports to provide data support for the formulation of sports plans, and the Chebyshev function evolution calculation is used to obtain the Pareto optimal solution for sports training. Secondly, the similarity function between the two-dimensional projection of the skeleton and the silhouette of the image is established in the constructed human body model so as to calculate the multi-objective optimization function. The optimized training plan was specifically analyzed after analyzing the sports assessment of college students in X school. The results show that compared with the conventional training plan, the optimized training plan has more sports load intensity indexes distributed between 1.5 and 2.0, indicating that the plan is more scientific and effective. The research presented in this paper can be a valuable resource for the creation of sports programs for college students.</description><subject>03D32</subject><subject>Chebyshev function</subject><subject>Exercise load</subject><subject>Human motion tracking</subject><subject>Multi-objective optimization</subject><subject>Pareto optimal solution</subject><issn>2444-8656</issn><issn>2444-8656</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp1kM1KAzEUhQdRsNRuXecFpuavmZmlFH8KBUF0HdLkzjRlphmTtFJXvoav55OYsSJuXN3Dvfd8cE6WXRI8pbwor1S3DTnFlOcYU3KSjSjnPC_FTJz-0efZJIQNTi-MMCHoKHt5hADK6zVyWxTXgAzsoXV9B9uIXI20a1toAIW4M2kVPt8_UOidjwH13jVedWilApjB3u3aaHO32oCOdg_I9dF29k1Fm46qbZy3cd1dZGe1agNMfuY4e769eZrf58uHu8X8eplrKjjJNcdGgMFlURtdCKoJ4KpgJWcVw4apglJRcKYxX6mZrqGiNVZaF4TjKiUr2ThbHLnGqY3sve2UP0inrPxeON9I5aPVLUhS1hQTYFVZrzijotJAecIpJiqWUIk1PbK0dyF4qH95BMuhfzn0L4f-5dB_MpRHw6tqI3gDjd8dkpAbt_PbFPsfY0XYF2i2jiM</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Song, Shuai</creator><general>Sciendo</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20240101</creationdate><title>Research on the development of college students’ sports program based on multi-objective optimization algorithm</title><author>Song, Shuai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2641-c40d6ed087fdc762c1e0973843930d3a7226743c04ba5cfe92f0acc7140966283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>03D32</topic><topic>Chebyshev function</topic><topic>Exercise load</topic><topic>Human motion tracking</topic><topic>Multi-objective optimization</topic><topic>Pareto optimal solution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Shuai</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied mathematics and nonlinear sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Shuai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on the development of college students’ sports program based on multi-objective optimization algorithm</atitle><jtitle>Applied mathematics and nonlinear sciences</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>9</volume><issue>1</issue><issn>2444-8656</issn><eissn>2444-8656</eissn><abstract>In recent years, the physical fitness of college students has been declining year by year, which has become the focus of national concern. In this paper, firstly, the human body motion tracking based on a multi-objective optimization algorithm is applied in the auxiliary training of college students’ sports to provide data support for the formulation of sports plans, and the Chebyshev function evolution calculation is used to obtain the Pareto optimal solution for sports training. Secondly, the similarity function between the two-dimensional projection of the skeleton and the silhouette of the image is established in the constructed human body model so as to calculate the multi-objective optimization function. The optimized training plan was specifically analyzed after analyzing the sports assessment of college students in X school. The results show that compared with the conventional training plan, the optimized training plan has more sports load intensity indexes distributed between 1.5 and 2.0, indicating that the plan is more scientific and effective. The research presented in this paper can be a valuable resource for the creation of sports programs for college students.</abstract><pub>Sciendo</pub><doi>10.2478/amns-2024-0021</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2444-8656
ispartof Applied mathematics and nonlinear sciences, 2024-01, Vol.9 (1)
issn 2444-8656
2444-8656
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_18f201e398fb43269ce24f0aa3693283
source DOAJ Directory of Open Access Journals
subjects 03D32
Chebyshev function
Exercise load
Human motion tracking
Multi-objective optimization
Pareto optimal solution
title Research on the development of college students’ sports program based on multi-objective optimization algorithm
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T06%3A10%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-walterdegruyter_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Research%20on%20the%20development%20of%20college%20students%E2%80%99%20sports%20program%20based%20on%20multi-objective%20optimization%20algorithm&rft.jtitle=Applied%20mathematics%20and%20nonlinear%20sciences&rft.au=Song,%20Shuai&rft.date=2024-01-01&rft.volume=9&rft.issue=1&rft.issn=2444-8656&rft.eissn=2444-8656&rft_id=info:doi/10.2478/amns-2024-0021&rft_dat=%3Cwalterdegruyter_doaj_%3E10_2478_amns_2024_002191%3C/walterdegruyter_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2641-c40d6ed087fdc762c1e0973843930d3a7226743c04ba5cfe92f0acc7140966283%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true