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A Hybrid Equilibrium Optimizer Based on Moth Flame Optimization Algorithm to Solve Global Optimization Problems

Zongshan Wang

Zongshan Wang

School of Information Science and Engineering, Yunnan UniversityKunming, China
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Wang, Zongshan
, 
Ali Ala

Ali Ala

Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong UniversityShanghai, China
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Ala, Ali
, 
Zekui Liu

Zekui Liu

Electronic Information School, Chongqing Institute of EngineeringChongqing, China
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Liu, Zekui
, 
Wei Cui

Wei Cui

College of Computer Science and Technology, Chongqing University of Posts and TelecommunicationsChongqing, China
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Cui, Wei
, 
Hongwei Ding

Hongwei Ding

School of Information Science and Engineering, Yunnan UniversityKunming, China
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Ding, Hongwei
, 
Gushen Jin

Gushen Jin

Glasgow College, University of Electronic Science and Technology of ChinaChengdu, China
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Jin, Gushen
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Xu Lu

Xu Lu

School of Information Science and Engineering, Yunnan UniversityKunming, China
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Lu, Xu
  
11 giu 2024
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Pubblicato online: 11 giu 2024
Pagine: 207 - 235
Ricevuto: 05 set 2023
Accettato: 03 mar 2024
DOI: https://doi.org/10.2478/jaiscr-2024-0012
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© 2024 Zongshan Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Wang, Zongshan ORCID Icon
School of Information Science and Engineering, Yunnan UniversityKunming, China
Ala, Ali
Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong UniversityShanghai, China
Liu, Zekui
Electronic Information School, Chongqing Institute of EngineeringChongqing, China
Cui, Wei
College of Computer Science and Technology, Chongqing University of Posts and TelecommunicationsChongqing, China
Ding, Hongwei
School of Information Science and Engineering, Yunnan UniversityKunming, China
Jin, Gushen
Glasgow College, University of Electronic Science and Technology of ChinaChengdu, China
Lu, Xu
School of Information Science and Engineering, Yunnan UniversityKunming, China
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Informatica, Base dati e data mining, Intelligenza artificiale
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