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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Computational Mathematics and Computer Modeling with Applications (CMCMA)</JournalTitle>
				<Issn>2783-4859</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Developing Chimp Optimization Algorithm for Function Estimation Tasks</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>34</FirstPage>
			<LastPage>44</LastPage>
			<ELocationID EIdType="pii">103992</ELocationID>
			
<ELocationID EIdType="doi">10.48308/CMCMA.2.1.34</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Rooholamini</LastName>
<Affiliation>Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Afzal Aghaei</LastName>
<Affiliation>Department of Computer Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, G.C. Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Mohammad Hossein</FirstName>
					<LastName>Hasheminejad</LastName>
<Affiliation>Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Azmi</LastName>
<Affiliation>Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Sarah</FirstName>
					<LastName>Soltani</LastName>
<Affiliation>Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>08</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>This paper presents a novel approach for tackling the Lane-Emden equation, a significant nonlinear differential equation of paramount importance in the realms of physics and astrophysics. We employ the Chimp optimization algorithm in conjunction with Chebyshev polynomials to devise an innovative solution strategy. Inspired by the behavioral patterns of chimpanzees, the Chimp algorithm is harnessed to optimize the Chebyshev polynomial approximations, thereby transforming the Lane-Emden equation into an unconstrained optimization problem. Our method&#039;s effectiveness is demonstrated through a series of numerical experiments, showcasing its capability to precisely solve the Lane-Emden equation across various polytropic indices.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Metaheuristic Algorithms</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Chimp optimization algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lane-Emden differential equations</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmcma.sbu.ac.ir/article_103992_a2782d0cb8b3894d6bd1410db43a0a76.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
