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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Computational Sciences and Engineering</JournalTitle>
				<Issn>2783-2503</Issn>
				<Volume>1</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Conic Optimization Reformulation for the Continuous Center Location Problem under Uncertainty</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>79</FirstPage>
			<LastPage>89</LastPage>
			<ELocationID EIdType="pii">4729</ELocationID>
			
<ELocationID EIdType="doi">10.22124/cse.2021.19401.1009</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Jamalian</LastName>
<Affiliation>Department of Computer science, Faculty of Mathematical sciences, University of Guilan, Rasht, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-6237-3118</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>04</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we consider the Euclidean continuous minimax location problem under uncertainty. We consider the single-facility and the multi-facility case with uncertain location of demand points and uncertain transportation costs. We study these two problems under two kinds of uncertainty, the interval and the ellipsoidal uncertainty. Equivalent formulations of robust counterparts of the single facility and multi facility Euclidean continuous minimax location problems under interval and&lt;br /&gt;ellipsoidal uncertainty are given as conic optimization&lt;br /&gt;problems.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Continuous Minimax Location Problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">robust optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Second-Order Cone Programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Semidefinite Programming</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cse.guilan.ac.ir/article_4729_79ee80f4cd6cfeebe2049a7b55ce5717.pdf</ArchiveCopySource>
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