Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm
With the development of computer science, various algorithm models are gradually applied in various fields of life. In order to study the application of the multi-objective differential evolution algorithm in the field of sports transportation. Based on the improvement of multi-objective differentia...
Saved in:
| Published in: | Systems and soft computing Vol. 7; p. 200200 |
|---|---|
| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.12.2025
Elsevier |
| Subjects: | |
| ISSN: | 2772-9419, 2772-9419 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | With the development of computer science, various algorithm models are gradually applied in various fields of life. In order to study the application of the multi-objective differential evolution algorithm in the field of sports transportation. Based on the improvement of multi-objective differential evolution algorithm, this paper proposes the training model of PE education, and compares the prediction results and the actual results. The specific conclusions are as follows: (1) MODE algorithm is better to other algorithms in convergence speed and accuracy; MODE algorithm can not only reach the optimal particle position quickly, but also fluctuate around the best point.(2) AMODE-MPS has great potential for dealing with complex and multiple objectives.(3) There are significant differences between the prediction performance of the proposed algorithm model and the statistical performance, in which the statistical performance is significantly higher than the predicted performance.(4) The proposed model can basically meet the prediction requirements. Although there are some differences between the prediction results and the actual results, this is because the statistical process is affected by the weather, physical condition and other factors. The results show that the PE training model has good results in practice, so this paper can provide reference for the improvement of PE teaching model. |
|---|---|
| AbstractList | With the development of computer science, various algorithm models are gradually applied in various fields of life. In order to study the application of the multi-objective differential evolution algorithm in the field of sports transportation. Based on the improvement of multi-objective differential evolution algorithm, this paper proposes the training model of PE education, and compares the prediction results and the actual results. The specific conclusions are as follows: (1) MODE algorithm is better to other algorithms in convergence speed and accuracy; MODE algorithm can not only reach the optimal particle position quickly, but also fluctuate around the best point.(2) AMODE-MPS has great potential for dealing with complex and multiple objectives.(3) There are significant differences between the prediction performance of the proposed algorithm model and the statistical performance, in which the statistical performance is significantly higher than the predicted performance.(4) The proposed model can basically meet the prediction requirements. Although there are some differences between the prediction results and the actual results, this is because the statistical process is affected by the weather, physical condition and other factors. The results show that the PE training model has good results in practice, so this paper can provide reference for the improvement of PE teaching model. |
| ArticleNumber | 200200 |
| Author | Wu, Man |
| Author_xml | – sequence: 1 givenname: Man surname: Wu fullname: Wu, Man email: ManWu00@outlook.com organization: Wenzhou Polytechnic, Wenzhou 325035, PR China |
| BookMark | eNp9Udtq3DAQFSWFpml-oE_6AW8lrWxZ0JcS2iYQKJT2Wegy2h1jW0byLqSf0K-u3A2hTwUxkmbmHM7MeUuu5jQDIe8523HGuw_Drtjid4KJtgZWzytyLZQSjZZcX_3zfkNuSxlY7emV0Hx_TX5_hwI2-yO1c6B2WUb0dsU00xRpWlac8NfLfzk-lVoeKYTTc9eaLc44H-iUAozU2QKB1vx0GldskhvAr3gGGjBGyDCvuMHPaTxtcJufqB0PKeN6nN6R19GOBW6f7xvy88vnH3f3zeO3rw93nx4bXyWvjVZR2ShBdVp5IX3rVO9C7JzoW8t0yxUwITsNbcegD17X8t4KHnz0spduf0MeLrwh2cEsGacqwySL5m8i5YOxeUU_ggmcuR7AtpxbySRoL-vmpNAdeNc7UbnEhcvnVEqG-MLHmdnMMYPZzDGbOeZiTgV9vICgTnlGyKZ4hNlDwFzXVWXg_-B_AG_inYc |
| Cites_doi | 10.1007/s00500-020-05527-x 10.1109/ACCESS.2021.3085529 10.1515/mt-2022-0013 10.1007/s11831-023-09914-z 10.1515/mt-2023-0015 10.1016/j.agsy.2004.05.002 10.1016/j.ijepes.2008.03.003 10.1515/mt-2023-0332 10.1515/mt-2024-0098 10.1007/s00500-004-0363-x 10.1109/TCYB.2014.2360752 10.1515/mt-2024-0186 10.1515/mt-2023-0201 10.1007/s00158-023-03639-0 10.1016/j.knosys.2022.110192 |
| ContentType | Journal Article |
| Copyright | 2025 The Author |
| Copyright_xml | – notice: 2025 The Author |
| DBID | 6I. AAFTH AAYXX CITATION DOA |
| DOI | 10.1016/j.sasc.2025.200200 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 2772-9419 |
| ExternalDocumentID | oai_doaj_org_article_d10b8eea511a404e9c42874296ecb8b2 10_1016_j_sasc_2025_200200 S2772941925000183 |
| GroupedDBID | 6I. AAFTH AALRI AAXUO ABJNI ADVLN AEXQZ AFJKZ AITUG AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ EBS FDB GROUPED_DOAJ M41 M~E OK1 ROL 0R~ AAYWO AAYXX ACVFH ADCNI AEUPX AFPUW AIGII AKBMS AKYEP APXCP CITATION |
| ID | FETCH-LOGICAL-c291t-97f7af4e7697c24c5b78bdf6b285a09517e02469e560e8dc978b3a21dcfc484b3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 1 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001439613800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2772-9419 |
| IngestDate | Fri Oct 03 12:42:58 EDT 2025 Thu Nov 27 01:05:24 EST 2025 Sat Mar 15 15:43:50 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Random forest algorithm Physical education Multi-objective differential evolutionary algorithm Mirror point screening method |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c291t-97f7af4e7697c24c5b78bdf6b285a09517e02469e560e8dc978b3a21dcfc484b3 |
| OpenAccessLink | https://doaj.org/article/d10b8eea511a404e9c42874296ecb8b2 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_d10b8eea511a404e9c42874296ecb8b2 crossref_primary_10_1016_j_sasc_2025_200200 elsevier_sciencedirect_doi_10_1016_j_sasc_2025_200200 |
| PublicationCentury | 2000 |
| PublicationDate | December 2025 2025-12-00 2025-12-01 |
| PublicationDateYYYYMMDD | 2025-12-01 |
| PublicationDate_xml | – month: 12 year: 2025 text: December 2025 |
| PublicationDecade | 2020 |
| PublicationTitle | Systems and soft computing |
| PublicationYear | 2025 |
| Publisher | Elsevier B.V Elsevier |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier |
| References | Anosri, Panagant, Champasak, Bureerat, Thipyopas, Kumar, Yildiz (bib0015) 2023; 30 Yi-Han (bib0021) 2023 Sait, Mehta, Pholdee, Yıldız, Yıldız (bib0008) 2024; 66 Wong, Dong (bib0022) 2005 Mehta, Yildiz, Sait, Yildiz (bib0004) 2022; 64 Mehta, Yildiz, Sait, Yıldız (bib0013) 2024; 66 Varadarajan, Swarup (bib0026) 2008; 30 Mayer, Kinghorn, Archer (bib0023) 2005; 83 Liu (bib0018) 2024 Song (bib0017) 2024 Liu, Lampinen (bib0027) 2005; 9 Mehta, Yildiz, Sait, Yıldız (bib0010) 2024; 66 Mehta, Sait, Yıldız, Erdaş, Kopar, Yıldız (bib0011) 2024; 66 Li, Zhan, Gong, Chen, Zhang, Li (bib0025) 2014; 45 Du (bib0016) 2024 Premkumar, Jangir, Kumar, Sowmya, Alhelou, Abualigah, Mirjalili (bib0002) 2021; 9 Kunakote, Sabangban, Kumar, Tejani, Panagant, Pholdee, Yildiz (bib0003) 2022 Deng, Shang, Cai, Zhao, Song, Xu (bib0024) 2021; 25 Liu (bib0020) 2017 Meng, Yıldız, Li, Zhong, Mirjalili, Yildiz (bib0006) 2023; 66 . Panagant, Pholdee, Bureerat, Yildiz, Mirjalili (bib0001) 2021 Erdaş, Kopar, Yildiz, Yildiz (bib0012) 2023; 65 Du (bib0019) 2019 Sait, Mehta, Gürses, Yildiz (bib0014) 2023; 65 Sait, Mehta, Yıldız, Yıldız (bib0009) 2024 Kumar, S., Yildiz, B.S., Mehta, P., Panagant, N., Sait, S.M., Mirjalili, S., & Yildiz, A.R. (2023). Chaotic marine predators algorithm for global optimization of real-world engineering problems. Knowledge-based systems, 261, 110192.DOI Duzgun, Acar, Yildiz (bib0007) 2024 10.1016/j.sasc.2025.200200_bib0005 Sait (10.1016/j.sasc.2025.200200_bib0009) 2024 Anosri (10.1016/j.sasc.2025.200200_bib0015) 2023; 30 Varadarajan (10.1016/j.sasc.2025.200200_bib0026) 2008; 30 Liu (10.1016/j.sasc.2025.200200_bib0020) 2017 Li (10.1016/j.sasc.2025.200200_bib0025) 2014; 45 Mehta (10.1016/j.sasc.2025.200200_bib0013) 2024; 66 Mehta (10.1016/j.sasc.2025.200200_bib0004) 2022; 64 Mehta (10.1016/j.sasc.2025.200200_bib0011) 2024; 66 Yi-Han (10.1016/j.sasc.2025.200200_bib0021) 2023 Meng (10.1016/j.sasc.2025.200200_bib0006) 2023; 66 Sait (10.1016/j.sasc.2025.200200_bib0008) 2024; 66 Song (10.1016/j.sasc.2025.200200_bib0017) 2024 Du (10.1016/j.sasc.2025.200200_bib0019) 2019 Premkumar (10.1016/j.sasc.2025.200200_bib0002) 2021; 9 Wong (10.1016/j.sasc.2025.200200_bib0022) 2005 Sait (10.1016/j.sasc.2025.200200_bib0014) 2023; 65 Liu (10.1016/j.sasc.2025.200200_bib0027) 2005; 9 Mayer (10.1016/j.sasc.2025.200200_bib0023) 2005; 83 Deng (10.1016/j.sasc.2025.200200_bib0024) 2021; 25 Kunakote (10.1016/j.sasc.2025.200200_bib0003) 2022 Duzgun (10.1016/j.sasc.2025.200200_bib0007) 2024 Erdaş (10.1016/j.sasc.2025.200200_bib0012) 2023; 65 Du (10.1016/j.sasc.2025.200200_bib0016) 2024 Mehta (10.1016/j.sasc.2025.200200_bib0010) 2024; 66 Panagant (10.1016/j.sasc.2025.200200_bib0001) 2021 Liu (10.1016/j.sasc.2025.200200_bib0018) 2024 |
| References_xml | – year: 2017 ident: bib0020 article-title: Research On Collaborative Filtering Algorithm For Student Performance Prediction in Educational Data Mining – year: 2023 ident: bib0021 article-title: Research On Geometry Parsing Algorithm for Smart Education – volume: 66 start-page: 1230 year: 2024 end-page: 1240 ident: bib0010 article-title: Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm publication-title: Mater. Test. – start-page: 1 year: 2021 end-page: 17 ident: bib0001 article-title: A comparative study of recent multi-objective metaheuristics for solving constrained truss optimisation problems publication-title: Arch. Computat. Method. Eng. – reference: Kumar, S., Yildiz, B.S., Mehta, P., Panagant, N., Sait, S.M., Mirjalili, S., & Yildiz, A.R. (2023). Chaotic marine predators algorithm for global optimization of real-world engineering problems. Knowledge-based systems, 261, 110192.DOI: – volume: 65 start-page: 1767 year: 2023 end-page: 1775 ident: bib0012 article-title: Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm publication-title: Mater. Test. – volume: 25 start-page: 5277 year: 2021 end-page: 5298 ident: bib0024 article-title: An improved differential evolution algorithm and its application in optimization problem publication-title: Soft Comput. – year: 2024 ident: bib0007 article-title: A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems publication-title: Mater. Test. – volume: 9 start-page: 448 year: 2005 end-page: 462 ident: bib0027 article-title: A fuzzy adaptive differential evolution algorithm publication-title: Soft Comput. – start-page: 73 year: 2005 end-page: 83 ident: bib0022 article-title: Differential evolution, an alternative approach to evolutionary algorithm publication-title: Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems – volume: 66 start-page: 544 year: 2024 end-page: 552 ident: bib0011 article-title: A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems publication-title: Mater. Test. – year: 2024 ident: bib0016 article-title: Research On Multi-Objective Optimization Algorithm For Assembly Prefabricated Parts Production Scheduling Based On Reinforcement Learning – volume: 65 start-page: 1230 year: 2023 end-page: 1236 ident: bib0014 article-title: Cheetah optimization algorithm for optimum design of heat exchangers publication-title: Mater. Test. – volume: 64 start-page: 524 year: 2022 end-page: 532 ident: bib0004 article-title: Hunger games search algorithm for global optimization of engineering design problems publication-title: Mater. Test. – year: 2024 ident: bib0009 article-title: Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm publication-title: Mater. Test. – year: 2024 ident: bib0018 article-title: Research On Change Detection Algorithm Based On Hyperspectral Remote Sensing Data – year: 2024 ident: bib0017 article-title: Research On Pedestrian Detection Algorithm Based On Deep Learning – volume: 9 start-page: 84263 year: 2021 end-page: 84295 ident: bib0002 article-title: A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations publication-title: IEEE Access – volume: 30 start-page: 3657 year: 2023 end-page: 3671 ident: bib0015 article-title: A comparative study of state-of-the-art metaheuristics for solving many-objective optimization problems of fixed wing unmanned aerial vehicle conceptual design publication-title: Arch. Computat. Method. Eng. – volume: 66 start-page: 191 year: 2023 ident: bib0006 article-title: Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study publication-title: Struct. Multidiscipl. Optimiz. – volume: 66 start-page: 1855 year: 2024 end-page: 1863 ident: bib0008 article-title: Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components publication-title: Mater. Test. – reference: . – volume: 30 start-page: 435 year: 2008 end-page: 441 ident: bib0026 article-title: Differential evolutionary algorithm for optimal reactive power dispatch publication-title: Int. J. Electric. Power Energy Syst. – start-page: 1 year: 2022 end-page: 14 ident: bib0003 article-title: Comparative performance of twelve metaheuristics for wind farm layout optimisation publication-title: Arch. Computat. Method. Eng. – volume: 66 start-page: 1230 year: 2024 end-page: 1240 ident: bib0013 article-title: Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm publication-title: Mater. Test. – year: 2019 ident: bib0019 article-title: Research On Association Rule Algorithm Based On FP-Growth and Its Application in College Education Big Data – volume: 45 start-page: 1798 year: 2014 end-page: 1810 ident: bib0025 article-title: Differential evolution with an evolution path: a DEEP evolutionary algorithm publication-title: IEEE Trans. Cybern. – volume: 83 start-page: 315 year: 2005 end-page: 328 ident: bib0023 article-title: Differential evolution–an easy and efficient evolutionary algorithm for model optimization publication-title: Agric. Syst. – volume: 25 start-page: 5277 year: 2021 ident: 10.1016/j.sasc.2025.200200_bib0024 article-title: An improved differential evolution algorithm and its application in optimization problem publication-title: Soft Comput. doi: 10.1007/s00500-020-05527-x – volume: 9 start-page: 84263 year: 2021 ident: 10.1016/j.sasc.2025.200200_bib0002 article-title: A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3085529 – volume: 64 start-page: 524 issue: 4 year: 2022 ident: 10.1016/j.sasc.2025.200200_bib0004 article-title: Hunger games search algorithm for global optimization of engineering design problems publication-title: Mater. Test. doi: 10.1515/mt-2022-0013 – year: 2023 ident: 10.1016/j.sasc.2025.200200_bib0021 – year: 2019 ident: 10.1016/j.sasc.2025.200200_bib0019 – volume: 30 start-page: 3657 issue: 6 year: 2023 ident: 10.1016/j.sasc.2025.200200_bib0015 article-title: A comparative study of state-of-the-art metaheuristics for solving many-objective optimization problems of fixed wing unmanned aerial vehicle conceptual design publication-title: Arch. Computat. Method. Eng. doi: 10.1007/s11831-023-09914-z – volume: 65 start-page: 1230 issue: 8 year: 2023 ident: 10.1016/j.sasc.2025.200200_bib0014 article-title: Cheetah optimization algorithm for optimum design of heat exchangers publication-title: Mater. Test. doi: 10.1515/mt-2023-0015 – volume: 83 start-page: 315 issue: 3 year: 2005 ident: 10.1016/j.sasc.2025.200200_bib0023 article-title: Differential evolution–an easy and efficient evolutionary algorithm for model optimization publication-title: Agric. Syst. doi: 10.1016/j.agsy.2004.05.002 – volume: 30 start-page: 435 issue: 8 year: 2008 ident: 10.1016/j.sasc.2025.200200_bib0026 article-title: Differential evolutionary algorithm for optimal reactive power dispatch publication-title: Int. J. Electric. Power Energy Syst. doi: 10.1016/j.ijepes.2008.03.003 – volume: 66 start-page: 544 issue: 4 year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0011 article-title: A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems publication-title: Mater. Test. doi: 10.1515/mt-2023-0332 – volume: 66 start-page: 1230 issue: 8 year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0010 article-title: Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm publication-title: Mater. Test. doi: 10.1515/mt-2024-0098 – volume: 66 start-page: 1230 issue: 8 year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0013 article-title: Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm publication-title: Mater. Test. doi: 10.1515/mt-2024-0098 – volume: 9 start-page: 448 year: 2005 ident: 10.1016/j.sasc.2025.200200_bib0027 article-title: A fuzzy adaptive differential evolution algorithm publication-title: Soft Comput. doi: 10.1007/s00500-004-0363-x – start-page: 73 year: 2005 ident: 10.1016/j.sasc.2025.200200_bib0022 article-title: Differential evolution, an alternative approach to evolutionary algorithm – volume: 45 start-page: 1798 issue: 9 year: 2014 ident: 10.1016/j.sasc.2025.200200_bib0025 article-title: Differential evolution with an evolution path: a DEEP evolutionary algorithm publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2360752 – year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0017 – volume: 66 start-page: 1855 issue: 11 year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0008 article-title: Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components publication-title: Mater. Test. doi: 10.1515/mt-2024-0186 – issue: 0 year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0009 article-title: Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm publication-title: Mater. Test. – year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0018 – year: 2017 ident: 10.1016/j.sasc.2025.200200_bib0020 – issue: 0 year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0007 article-title: A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems publication-title: Mater. Test. – volume: 65 start-page: 1767 issue: 12 year: 2023 ident: 10.1016/j.sasc.2025.200200_bib0012 article-title: Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm publication-title: Mater. Test. doi: 10.1515/mt-2023-0201 – start-page: 1 year: 2022 ident: 10.1016/j.sasc.2025.200200_bib0003 article-title: Comparative performance of twelve metaheuristics for wind farm layout optimisation publication-title: Arch. Computat. Method. Eng. – volume: 66 start-page: 191 issue: 8 year: 2023 ident: 10.1016/j.sasc.2025.200200_bib0006 article-title: Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study publication-title: Struct. Multidiscipl. Optimiz. doi: 10.1007/s00158-023-03639-0 – year: 2024 ident: 10.1016/j.sasc.2025.200200_bib0016 – ident: 10.1016/j.sasc.2025.200200_bib0005 doi: 10.1016/j.knosys.2022.110192 – start-page: 1 year: 2021 ident: 10.1016/j.sasc.2025.200200_bib0001 article-title: A comparative study of recent multi-objective metaheuristics for solving constrained truss optimisation problems publication-title: Arch. Computat. Method. Eng. |
| SSID | ssj0002872913 |
| Score | 2.3176124 |
| Snippet | With the development of computer science, various algorithm models are gradually applied in various fields of life. In order to study the application of the... |
| SourceID | doaj crossref elsevier |
| SourceType | Open Website Index Database Publisher |
| StartPage | 200200 |
| SubjectTerms | Mirror point screening method Multi-objective differential evolutionary algorithm Physical education Random forest algorithm |
| Title | Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm |
| URI | https://dx.doi.org/10.1016/j.sasc.2025.200200 https://doaj.org/article/d10b8eea511a404e9c42874296ecb8b2 |
| Volume | 7 |
| WOSCitedRecordID | wos001439613800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2772-9419 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002872913 issn: 2772-9419 databaseCode: DOA dateStart: 20220101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2772-9419 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002872913 issn: 2772-9419 databaseCode: M~E dateStart: 20220101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELZQxcDCG1Fe8sCGIhrXiZMRUCsWKgaQukV-QiuaVGmoxMIP4Fdzjm2UCRaGRIqVxJG_y93n5PMdQpc2fwqPKYm0IWlEhVJRxpWICM9FQmPYuCs2wSaTbDrNHzulvqwmzKUHdgN3reKByLTmQAw4HVCdS0vywYumWopMtN53wPLOZGrefjIC0hgP_SoZJ-ha8ZXNWUiSVphgl7R1IlGbsL8TkDpBZryLtj07xDfuqfbQhi730U6ovID9i3iAvoJgDvNS4c5PaFwZXIEXWPjllfZ46aHAOog5cCgMgdtCONiGMoWhvZUXRpWYOzeIQ_kUcANw-dqbKa8_MH97qepZ87o4RM_j0dPdfeSrKkQShqSJcmYYN1SzNGeSUJkIlgllUkEANUu4mIa4neYauJDOlIRpphhyEitpJM2oGB6hXlmV-hhho2JilFAAiaC5stQHfJZKU2Ys8zR9dBVGuFi65BlFUJXNC4tHYfEoHB59dGtB-DnTJr5uG8AcCm8OxV_m0EdJgLDwHMJxA7jV7JfOT_6j81O0ZW_p1C5nqNfU7_ocbcp1M1vVF62Fwv7hc_QN97bwPQ |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Research+and+application+of+optimization+of+physical+education+training+model+based+on+multi-objective+differential+evolutionary+algorithm&rft.jtitle=Systems+and+soft+computing&rft.au=Man+Wu&rft.date=2025-12-01&rft.pub=Elsevier&rft.eissn=2772-9419&rft.volume=7&rft.spage=200200&rft_id=info:doi/10.1016%2Fj.sasc.2025.200200&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_d10b8eea511a404e9c42874296ecb8b2 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2772-9419&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2772-9419&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2772-9419&client=summon |