The metaheuristic optimization of the mechanical properties of sustainable energies using artificial neural networks and genetic algorithm: A case study by eggshell fine waste-Reference-Cited by-同舟云学术

The metaheuristic optimization of the mechanical properties of sustainable energies using artificial neural networks and genetic algorithm: A case study by eggshell fine waste

Published:2022-07-05 Issue:15 Volume:46 Page:21338-21352
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Intl J of Energy Research

Author:

Wang Yule¹,AL‐Huqail Arwa Abdulkreem²^ORCID,Salimimoghadam Shadi³,Jasim Mohammed Khidhair⁴,Jan Amin⁵,Ali H. Elhosiny⁶⁷⁸,Amine Khadimallah Mohamed⁹¹⁰,Assilzadeh Hamid¹¹

Affiliation:

1. College of Computer Science and Technology Zhejiang University of Technology Hangzhou China

2. Department of Biology, College of Science Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia

3. Department of Civil Engineering, Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia

4. Air Conditioning and Refrigeration Techniques Engineering Department Al‐Mustaqbal University College Babylon Iraq

5. Faculty of Hospitality, Tourism and Wellness Universiti Malaysia Kelantan, City Campus Kota Bharu Kelantan Malaysia

6. Advanced Functional Materials and Optoelectronic Laboratory (AFMOL), Department of Physics, Faculty of Science King Khalid University Abha Saudi Arabia

7. Research Center for Advanced Materials Science (RCAMS) King Khalid University Abha Saudi Arabia

8. Physics Department, Faculty of Science Zagazig University Zagazig Egypt

9. Prince Sattam Bin Abdulaziz University, College of Engineering Civil Engineering Department Al‐Kharj Saudi Arabia

10. Laboratory of Systems and Applied Mechanics, Polytechnic School of Tunisia University of Carthage Tunis Tunisia

11. Department of Biomaterials, Saveetha Dental College and Hospital Saveetha Institute of Medical and Technical Sciences Chennai India

Publisher

Hindawi Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.8255

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