Multi-Agent Communication for Dynamic Job-Shop Scheduling: A Robust Single-Machine Scheduling Model With Genetic Algorithm Optimization
Job-shop scheduling is crucial in manufacturing systems but struggles with uncertainties like random job arrivals and disruptions. Traditional scheduling methods often rely on centralized control and predefined rules, limiting flexibility in dynamic environments. This study has proposed a multi-agen...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11002853/ |
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