Hybrid Micro Genetic Multi-Population Algorithm With Collective Communication for the Job Shop Scheduling Problem-Reference-Cited by-同舟云学术

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Hybrid Micro Genetic Multi-Population Algorithm With Collective Communication for the Job Shop Scheduling Problem

Published:2019 Issue: Volume:7 Page:82358-82376
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cruz-Chavez Marco Antonio^ORCID,Rosales Martin H. Cruz,Zavala-Diaz Jose Crispin,Aguilar Jose Alberto Hernandez,Rodriguez-Leon Abelardo,Avelino Juan Carlos Prince,Ortiz Martha Elena Luna,Salinas Oscar H.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08743353.pdf?arnumber=8743353

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Resource Allocation Based on Predictive Process Monitoring;IEEE Access;2023

2. Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems;Journal of Intelligent Manufacturing;2022-04-16

3. A data-driven scheduling knowledge management method for smart shop floor;International Journal of Computer Integrated Manufacturing;2022-02-22

4. Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problems;Applied Soft Computing;2021-09

5. Graph-Based Modeling in Shop Scheduling Problems: Review and Extensions;Applied Sciences;2021-05-21

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