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August 11, 2024
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Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance

Publicated to: Journal of Artificial Intelligence and Soft Computing Research. 14 (4): 321-359 - 2024-07-01 14(4), DOI: 10.2478/jaiscr-2024-0018

Authors:

Yu, M; Khishe, M; Qian, LR; Martín, D; Abualigah, L; Ghazal, TM
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Affiliations

Al Al Bayt Univ, Comp Sci Dept, Mafraq 25113, Jordan - Author
Anshan Normal Univ, Sch Artificial Intelligence, Anshan 114056, Peoples R China - Author
Appl Sci Private Univ, Appl Sci Res Ctr, Amman 11937, Jordan - Author
Arizona State Univ, Sch Comp & Augmented Intelligence, Tempe, AZ 85281 USA - Author
Chitkara Univ, Ctr Res Impact & Outcome, Rajpura, Punjab, India - Author
Imam Khomeini Naval Sci Univ Nowshahr, Dept Elect Engn, Nowshahr, Iran - Author
Jadara Univ, Jadara Res Ctr, Irbid 21110, Jordan - Author
Middle East Univ, MEU Res Unit, Amman 11831, Jordan - Author
Univ Kebangsaan Malaysia, UKM, Fac Informat Sci & Technol, Ctr Cyber Secur, Bangi 43600, Selangor, Malaysia - Author
Univ Politecn Madrid, ETSI Telecomunicac, Ave Complutense 30, E-28040 Madrid, Spain - Author
Yuan Ze Univ, Innovat Ctr Artificial Intelligence Applicat, Taoyuan, Taiwan - Author
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Abstract

This research introduces the Quantum Chimp Optimization Algorithm (QChOA), a pioneering methodology that integrates quantum mechanics principles into the Chimp Optimization Algorithm (ChOA). By incorporating non-linearity and uncertainty, the QChOA significantly improves the ChOA's exploration and exploitation capabilities. A distinctive feature of the QChOA is its ability to displace a 'chimp,' representing a potential solution, leading to heightened fitness levels compared to the current top search agent. Our comprehensive evaluation includes twenty- nine standard optimization test functions, thirty CEC-BC functions, the CEC06 test suite, ten real-world engineering challenges, and the IEEE CEC 2022 competition's dynamic optimization problems. Comparative analyses involve four ChOA variants, three leading quantum-behaved algorithms, three state-ofthe-art algorithms, and eighteen benchmarks. Employing three non-parametric statistical tests (Wilcoxon rank-sum, Holm-Bonferroni, and Friedman average rank tests), results show that the QChOA outperforms counterparts in 51 out of 70 scenarios, exhibiting performance on par with SHADE and CMA-ES, and statistical equivalence to jDE100 and DISHchain1e+12. The study underscores the QChOA's reliability and adaptability, positioning it as a valuable technique for diverse and intricate optimization challenges in the field.
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Keywords

Chimp optimization algorithmEngineering applicationQuantum optimizatioQuantum optimizationStatistical analysis

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal of Artificial Intelligence and Soft Computing Research due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Vision and Pattern Recognition. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Artificial Intelligence.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • WoS: 11
  • Scopus: 13
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 25 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: China; India; Iran; Jordan; Malaysia; Taiwan; United States of America.

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