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\begin{document}

\title{A Review of Nature Inspired Algorithms and Its Applications}



\author[1]{Keshav  Kumar K}%
\author[2]{NVSL Narasimham}%
\author[3]{S Balamuralitharan}%
\affil[1]{Jawaharlal Nehru Technological University Hyderabad}%
\affil[2]{G Narayanamma Institute of Technology and Science for Women}%
\affil[3]{SRM Institute of Science and Technology}%


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  \date{June 14, 2024}


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\begin{abstract}
If we look closely at nature, we can see that, although it appears to be
very plain and systematic on the surface, it conceals many complexities
underneath it. Since technology follows the same `simple-yet-complex'
theory as nature, researchers have often attempted to apply what they
have learned from nature to complex technological Algorithms that are
used to solve a few real-world human problems. There has been a rapid
rise in research in this area over the last decade. Nature-inspired
algorithms are now used in almost every field of science. While it has
been extended to a variety of fields, the scope of this paper is limited
to its use in the optimization and computer Intelligence. The main goal
of optimization and Computer intelligence applications is to obtain,
handle, and use the massive amount of data stored in distributed
databases, which can be structured, semi-structured, or unstructured.
This is a developing field that is moving toward more intelligent and
human-centric applications. This paper provides an overview of important
nature-inspired techniques for optimising various aspects of Semantic
Web applications, including knowledge bases, content filtering,
information retrieval, and inference mechanisms.%
\end{abstract}%



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