Optimizing Regression on Genetic Algorithms for Effective scheduling based on the Predicted Number of Students-Reference-Cited by-同舟云学术

Optimizing Regression on Genetic Algorithms for Effective scheduling based on the Predicted Number of Students

Published:2022-10-15 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Education and Technology (ICET)
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Author:

Wahyono Irawan Dwi¹,Sunarti ²,Putranto Hari¹,Saryono Djoko³,Bukhori Herri Akhmad⁴,Widyatmoko Tiksno⁴,Rosli Mohd Shafie⁵,Shukor Nurbiha A.⁵,Halim Noor Dayana Abdul⁵

Affiliation:

1. Universitas Negeri Malang,Department of Engineering,Malang,Indonesia

2. Universitas Negeri Malang,Department of German,Malang,Indonesia

3. Universitas Negeri Malang,Department of Indonesian Literature,Malang,Indonesia

4. Education Universitas Negeri Malang,Department of German Language,Malang,Indonesia

5. Universiti Teknologi Malaysia,Departemen of Education,Johor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989534/9990055/09990626.pdf?arnumber=9990626

Reference17 articles.

1. A Task Scheduling Algorithm Based on Genetic Algorithm and Ant Colony Optimization Algorithm with Multi-QoS Constraints in Cloud Computing

2. Intelligent Course Scheduling Scheme in High School for Elective Course System in College Entrance Examination

3. Prediction of Student Performance Using Linear Regression

4. Hybrid Algorithm Combing Genetic Algorithm With Evolution Strategy for Antenna Design

5. An Improved Adaptive Genetic Algorithm and Its Application in Intelligent Course Scheduling System

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