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Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance Cover

Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance

Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 4 (July 2024)
By: Meng Yu,  Mohammad Khishe,  Leren Qian,  Diego Martín,  Laith Abualigah and  Taher M. Ghazal  
Open Access
|Jul 2024

Authors

Meng Yu

School of Artificial Intelligence, Anshan Normal University, Anshan, China

Mohammad Khishe

m_khishe@alumni.iust.ac.ir

Department of Electronic Engineering, Imam Khomeini Naval Science University of Nowshahr, Iran
Applied Science Research Center, Applied Science Private University, Amman, Jordan
Innovation Center for Artificial Intelligence Applications, Yuan Ze University, Taiwan

Leren Qian

School of Computing and Augmented Intelligence, Arizona State University, USA

Diego Martín

ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain

Laith Abualigah

Computer Science Department, Al al-Bayt University, Mafraq, Jordan
MEU Research Unit, Middle East University, Amman, Jordan
Jadara Research Center, Jadara University, Irbid, Jordan
Centre for Research Impact & Outcome, Chitkara University, Punjab, India

Taher M. Ghazal

Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Malaysia
DOI: https://doi.org/10.2478/jaiscr-2024-0018
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Language: English
Page range: 321 - 359
Submitted on: Feb 7, 2024
|
Accepted on: Jul 1, 2024
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Published on: Jul 29, 2024
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
statistical analysis,
engineering application,
Chimp optimization algorithm,
quantum optimization
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2024 Meng Yu, Mohammad Khishe, Leren Qian, Diego Martín, Laith Abualigah, Taher M. Ghazal, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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