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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Analytical and Numerical Solutions for Nonlinear Equations</JournalTitle>
				<Issn>3060-785X</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>11</Month>
					<Day>15</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A hybrid algorithm for the path center problem</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>83</FirstPage>
			<LastPage>92</LastPage>
			<ELocationID EIdType="pii">58</ELocationID>
			
<ELocationID EIdType="doi">10.22128/gadm.2016.58</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Maryam </FirstName>
					<LastName>Rahbari</LastName>
<Affiliation>Department of Mathematics, Shahrood University of Technology, University Blvd., Shahrood, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Jafar </FirstName>
					<LastName>Fathali</LastName>
<Affiliation>Department of Mathematics, Shahrood University of Technology, University Blvd., Shahrood, Iran</Affiliation>

</Author>
<Author>
					<FirstName>REZA </FirstName>
					<LastName>MORTAZAVI</LastName>
<Affiliation>School of Engineering, Damghan University, Damghan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-1889-8184</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>10</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>Let a graph G = (V;E) be given. In the path center problem we want to find a path P in G such that the maximum weighted distance of P to every vertex in V is minimized. In this paper a genetic algorithm and a&lt;br /&gt;hybrid of genetic and ant colony algorithms are presented for the path center problem. Some test problems are examined to compare the algorithms. The results show that for almost all examples the hybrid method results better solutions than genetic algorithm.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Genetic algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ant colony</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Location theory</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Path center</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hybrid algorithm</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ansne.du.ac.ir/article_58_acf2233fde4719992314babcb37ed914.pdf</ArchiveCopySource>
</Article>
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