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\begin{document}

\title{Kitsune Optimiser Algorithm}



\author[1]{Fergani Okba}%
\author[2]{Raihane Mechgoug}%
\author[3]{Ahmed Bouzid Afulay}%
\author[2]{* NaciraTkouti}%
\author[4]{AIT ABBAS Hamou}%
\affil[1]{Universite Mohamed Khider de Biskra Departement de Genie Electrique}%
\affil[2]{Universite Mohamed Khider de Biskra Laboratoire de Genie Electrique Biskra}%
\affil[3]{Miskolci Egyetem Vezetestudomanyi Intezet}%
\affil[4]{Universite de Bouira}%


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  \date{June 16, 2024}


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\begin{abstract}
The Kitsune Optimization Algorithm (KOA), inspired by the mythical
Kitsune, introduces a transformative approach in the realm of
metaheuristic optimization. This paper presents an in-depth analysis of
KOA, underlining its exceptional capabilities in terms of enhanced
convergence speed, accuracy, and robustness. Empirical results from 12
benchmark functions along with optimizing power output in Photovoltaic
(PV) systems reveal KOA's rapid convergence capabilities, significantly
reducing computational time. In comparison to established algorithms,
KOA shows a marked improvement in convergence speed, reaching optimal
solutions faster by an average of first 5 iterations. In terms of
accuracy, KOA demonstrates an impressive ability to locate global optima
with a lower average error margin of 98 \%, indicating a substantial
increase in solution precision over traditional methods. This level of
accuracy is particularly evident in complex multi-modal landscapes,
where KOA consistently outperforms its counterparts. Furthermore, KOA
exhibits exceptional robustness across various test scenarios,
maintaining consistent performance and exhibiting a high level of
stability. This robustness is further evidenced in real-world
applications, such as the optimization of power output in Photovoltaic
(PV) systems, where KOA adapts effectively to dynamic environmental
conditions, showcasing its practical applicability and reliability.
Overall, the Kitsune Optimization Algorithm sets a new benchmark in the
field of metaheuristic algorithms with its enhanced convergence speed,
superior accuracy, and robustness, making it a promising tool for
tackling complex optimization problems in diverse domains.%
\end{abstract}%



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