Optimizing Scheduling for Enhanced Efficiency in Cube Storage Warehouses: A Genetic Algorithm Approach Across Different Schemes
This study investigates the application of a Genetic Algorithm (GA) for optimizing scheduling in automated cube storage warehouses, focusing on enhancing logistics processing speed. The findings underscore the GA’s capability to optimize scheduling processes across various warehouse confi...
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| Main Author: | |
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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/10985745/ |
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