Rescheduling of Multi-Skilled Workers Based on Improved Sparrow Search Algorithm
To solve the scheduling problem of multi-skilled workers in uncertain environments, a model to minimize production costs and delays is created. An improved Sparrow Search Algorithm is designed to solve this model (GWHASSA). The algorithm introduces a transformation mechanism and uses position update strategies to improve local search. The algorithm is tested through real cases for effectiveness and feasibility.
Authors
- Chen Guo (ORCID: https://orcid.org/0000-0002-4214-9618)
- Jiamin Liu (ORCID: https://orcid.org/0009-0007-9802-5562)
Institutions
- Wuhan University of Technology (CN)
Publication Details
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1109/icmtim65484.2025.11040725
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00