Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling-Reference-Cited by-同舟云学术

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Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling

Published:2024-04 Issue:2 Volume:8 Page:1567-1581
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Zhang Wanting¹^ORCID,Du Wei¹^ORCID,Yu Guo²^ORCID,He Renchu¹^ORCID,Du Wenli¹^ORCID,Jin Yaochu³^ORCID

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

2. Institute of Intelligent Manufacturing, Nanjing Tech University, Nanjing, China

3. School of Engineering, Westlake University, Hangzhou, China

Funder

National Natural Science Foundation of China

Major Program of Qingyuan Innovation Laboratory

Shanghai Committee of Science and Technology, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10480102/10414355.pdf?arnumber=10414355

Reference41 articles.

1. Petroleum Refining Operations: Key Issues, Advances, and Opportunities

2. Development and challenges of planning and scheduling for petroleum and petrochemical production

3. Scheduling of loading and unloading of crude oil in a refinery using event-based discrete time formulation

4. A Novel Solution Approach to a Priority-Slot-Based Continuous-Time Mixed Integer Nonlinear Programming Formulation for a Crude-Oil Scheduling Problem

5. A new continuous-time formulation for scheduling crude oil operations

Cited by 3 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. Data-Driven Heuristic Optimization for Complex Large-Scale Crude Oil Operation Scheduling;Processes;2024-05-01

2. Flow-Shop Scheduling Problem With Batch Processing Machines via Deep Reinforcement Learning for Industrial Internet of Things;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

3. Large-Scale Continuous-Time Crude Oil Scheduling: A Variable-Length Evolutionary Optimization Approach;IEEE Transactions on Automation Science and Engineering;2024

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