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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>8</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A simulated annealing algorithm for the restricted stochastic traveling salesman problem with exponentially distributed arc lengths</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>279</FirstPage>
			<LastPage>290</LastPage>
			<ELocationID EIdType="pii">4027</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2020.15535.1378</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Abdolhosseinzadeh</LastName>
<Affiliation>Department of Mathematics, University of Bonab, Bonab, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mir Mohammad</FirstName>
					<LastName>Alipour</LastName>
<Affiliation>Department of Computer Engineering, University of Bonab, Bonab, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>01</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>The considered stochastic travelling salesman problem is defined where the costs are distributed exponentially. The costs are symmetric and they satisfy the triangular inequality. A discrete time Markov chain is established in some periods of time. A stochastic tour is created in a dynamic recursive way and the best node is detected to traverse in each period. Then, a simulated annealing based heuristic method is applied to select the best state. All the nodes should be traversed exactly once. An initial $\rho$-approximate solution is applied for some benchmark problems and the obtained solutions are improved by a simulated annealing heuristic method.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Travelling salesman problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">discrete time Markov chain</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">approximation algorithms</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Simulated Annealing</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_4027_7430873ed63a7620715be6db6623dc1b.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
