Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research on Optimization of Organizational Training Efficiency under Multiple Training Objectives Based on AHP-GA Algorithm

Authors
Min Cao1, *, Ping Luo2, Ying Du2, Yao Niu2
1College of Information and Communication, National University of Defense Technology, Xi an, China
2The Department of Evaluation and Optimization, Telecommunication Research Institution, Xi an, China
*Corresponding author. Email: 598787764@qq.com
Corresponding Author
Min Cao
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_89How to use a DOI?
Keywords
multiple training objectives; Genetic algorithm; Analytic Hierarchy Process
Abstract

This paper proposes a solution that combines Analytic Hierarchy Process (AHP) and Genetic Algorithm (GA) to optimize the training duration of training institutions with multiple training objectives by establishing a mathematical model for optimizing organizational training benefits under multiple constraints. This method not only utilizes expert experience values to avoid the influence of extreme values, but also draws on the advantages of genetic algorithm to solve the optimal solution. Using AHP for quantitative and qualitative analysis to determine the weight of training target allocation, a combination of elite retention strategy and roulette wheel algorithm was used to select genetic operators, and simulation experiments were conducted to calculate the training duration allocation scheme with limited training duration and optimal training efficiency under multiple training objectives.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_89
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_89How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Min Cao
AU  - Ping Luo
AU  - Ying Du
AU  - Yao Niu
PY  - 2023
DA  - 2023/09/28
TI  - Research on Optimization of Organizational Training Efficiency under Multiple Training Objectives Based on AHP-GA Algorithm
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 769
EP  - 779
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_89
DO  - 10.2991/978-94-6463-264-4_89
ID  - Cao2023
ER  -