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- Title
Research of a Multi-Level Organization Human Resource Network Optimization Model and an Improved Late Acceptance Hill Climbing Algorithm.
- Authors
Huang, Jingbo; Li, Jiting; Du, Yonghao; Song, Yanjie; Wu, Jian; Yao, Feng; Wang, Pei
- Abstract
Complex hierarchical structures and diverse personnel mobility pose challenges for many multi-level organizations. The difficulty of reasonable human resource planning in multi-level organizations is mainly caused by ignoring the hierarchical structure. To address the above problems, firstly, a multi-level organization human resource network optimization model is constructed by representing the turnover situation of multi-level organizations in a dimensional manner as a multi-level network. Secondly, we propose an improved late acceptance hill climbing based on tabu and retrieval strategy (TR-LAHC) and designed two intelligent optimization operators. Finally, the TR-LAHC algorithm is compared with other classical algorithms to prove that the algorithm provides the best solution and can effectively solve the personnel mobility planning problem in multi-level organizations.
- Subjects
HUMAN resource planning; ORGANIZATIONAL research; ALGORITHMS
- Publication
Mathematics (2227-7390), 2023, Vol 11, Issue 23, p4813
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math11234813