An Improved Evolution Strategy Hybridization With Simulated Annealing for Permutation Flow Shop Scheduling Problems-Reference-Cited by-同舟云学术

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An Improved Evolution Strategy Hybridization With Simulated Annealing for Permutation Flow Shop Scheduling Problems

Published:2021 Issue: Volume:9 Page:94505-94522
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khurshid Bilal^ORCID,Maqsood Shahid^ORCID,Omair Muhammad,Sarkar Biswajit^ORCID,Ahmad Imran,Muhammad Khan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09467297.pdf?arnumber=9467297

Cited by 20 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. A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems;Engineering Applications of Artificial Intelligence;2024-07

2. Multiobjective flexible job-shop scheduling optimization for manufacturing servitization;International Journal of Web Information Systems;2024-06-18

3. A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems;Scientific Reports;2024-01-29

4. A new multi-domain cooperative resource scheduling method using proximal policy optimization;Neural Computing and Applications;2023-12-22

5. Blocking Flow Shop Scheduling Problems Using Evolution Strategies Algorithm;2023 28th International Conference on Automation and Computing (ICAC);2023-08-30

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