An optimization method of mine ventilation system based on R2 index hybrid multi-objective equilibrium optimization algorithm-Reference-Cited by-同舟云学术

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An optimization method of mine ventilation system based on R2 index hybrid multi-objective equilibrium optimization algorithm

Published:2022-11 Issue: Volume:8 Page:11003-11021
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Yu Bao-cai^ORCID,Shao Liang-shan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy

Reference49 articles.

1. Balanced multi-objective optimization algorithm using improvement based reference points approach;Abdel-Basset;Swarm Evol. Comput.,2021

2. Anon,, 2004. https://www.mem.gov.cn/gk/gwgg/xgxywj/200412/W020201218465830647034.pdf.

3. Anon,, 2020. https://github.com/P-N-Suganthan/2020-Multimodal-Multi-Objective-Benchmark.

4. A broyden-based algorithm for multi-objective local-search optimization;Botello-Aceves;Inform. Sci.,2022

5. A MOPSO based on hyper-heuristic to optimize many-objective problems;Castro,2014

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1. Research on Intelligent Ventilation System of Metal Mine Based on Real-Time Sensing Airflow Parameters with a Global Scheme;Applied Sciences;2024-08-28

2. Optimization Method of Mine Ventilation Network Regulation Based on Mixed-Integer Nonlinear Programming;Mathematics;2024-08-24

3. Optimization of Airflow Distribution in Mine Ventilation Networks Using the Modified Sooty Tern Optimization Algorithm;Mining, Metallurgy & Exploration;2023-12-20

4. Design of High Speed Rotors for Axial Mine Fans;Journal of Mining Science;2023-10

5. Optimization of Logistics Network Based on Single Objective Programming;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

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