Research on Multi-Objective Low-Carbon Flexible Job Shop Scheduling Based on Improved NSGA-II
To optimize the production scheduling of a flexible job shop, this paper, based on the NSGA-II algorithm, proposes an adaptive simulated annealing non-dominated sorting genetic algorithm II with enhanced elitism (ASA-NSGA-EE) that establishes a multi-objective flexible job shop scheduling model with...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2024-08-01
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| Sarja: | Machines |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2075-1702/12/9/590 |
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