Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-898X
Online ISSN:
0976-8998


  About JITR
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)

 

 
Journal of Information Technology Review
 

Application Research on Improved Particle Swarm Computational Intelligence Algorithm for Multiobjective Optimization
Lingxiu Sun, Mao Rui
Department of Economics and Management Wuchang Institute of Technology, Wuhan, Hubei, China., School of Economics and Managemen Wuchang Institute of Technology,Wuhan,Hubei,China
Abstract: In today’s world, optimization problems are becoming increasingly prominent, and the progress in optimization technologies can not only bring considerable economic benefits but also highlight their outstanding social value, making significant contributions to the sustainable development of the ecological environment. Due to their educational positioning and disciplinary development needs, local application-oriented universities tend to overlook the optimization and development of ideological and political theory courses in their growth, leading to lagging reforms in ideological and political education and suboptimal teaching outcomes. To enhance the teaching effects in local application-oriented universities, it is essential to scientifically design class contents, actively carry out practical teaching, adapt to the needs of the times, build an “Internet + Courses” online teaching platform, and continuously innovate teaching modes of courses.
Keywords: Educational Courses, Online Teaching, Particle Swarm Computation, Multiobjective Optimization Application Research on Improved Particle Swarm Computational Intelligence Algorithm for Multiobjective Optimization
DOI:https://doi.org/10.6025/jitr/2024/15/1/1-6
Full_Text   PDF 920 KB   Download:   34  times
References:

[1] Bai, X., Xu, Y., Liu, S. (2021). Research on the regional leading industry selection of “Kashgar urban agglomerations” based on multi-attribute weighted intelligent grey target decision-making evaluation model. Grey Systems: Theory and Application, 11(3), 418-433.
[2] Wang, Y. L., Wu, Z. P., Guan, G., et al. (2021). Research on intelligent design method of ship multideck compartment layout based on improved taboo search genetic algorithm. Ocean Engineering, 225(2), 108823.
[3] Qing, Y., Zejun, W. (2021). Research on the impact of entrepreneurship policy on employment based on improved machine learning algorithms. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2021(4), 40.
[4] Xie, J. (2022). Research on the Dominant and Implicit Integration Mechanism of Mental Health Education in Ideological and Political Education. Journal of Healthcare Engineering, 2022(12), 13- 19.
[5] Ying, J., Liu, B. (2018). Binocular optical axis parallelism detection precision analysis based on Monte Carlo method. In Fourth Seminar on Novel Optoelectronic Detection Technology and Application (pp. 320-327). SPIE, 10697.
[6] Haiyan, Y. (2021). Research on the Coupling Development of Main Melody Songs in the Teaching of Ideological and Political Courses in Colleges and Universities. In 2021 6th International Conference on Modern Management and Education Technology (MMET 2021) (pp. 295-299). Atlantis Press.
[7] Peng, Z. (2021). Research on the problems and countermeasures of ideological and political education management based on the analysis of big data in the era of convergence media. Journal of Physics Conference Series, 1744(4), 042106.
[8] Wucheng, Y., Ling, C., Qingdao, S., et al. (2016). Exploration of new methods of ideological and political education for college students: Integration of new media and construction of microenvironment. In The Fifth International Conference on E-Learning and E-Technologies in Education (ICEEE2016) (p. 77).
[9] Chen, T. (2022). Research on the dilemma and breakthrough path of ideological and political education in colleges and universities in the era of big data. Journal of Higher Education Research, 3(2), 203-206.


Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright 2011 dline.info