A Novel Hybrid Differential Evolutionary Algorithm for Solving Multi-objective Distributed Permutation Flow-Shop Scheduling Problem
Abstract The Distributed Permutation Flow-Shop Scheduling Problem (DPFSP) is a classic issue in distributed scheduling that involves job allocation and processing order within a factory, and it is known to be NP-hard. Numerous researchers have proposed various intelligent optimization algorithms to...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-025-00793-9 |
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