<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>AUT Journal of Mathematics and Computing</JournalTitle>
				<Issn>2783-2449</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>02</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The complexity of cost constrained vehicle scheduling problem</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>109</FirstPage>
			<LastPage>115</LastPage>
			<ELocationID EIdType="pii">4274</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ajmc.2021.19454.1046</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Malihe</FirstName>
					<LastName>Niksirat</LastName>
<Affiliation>Department of Computer Science, Faculty of Computer and Industrial Engineering, Birjand University of Technology, Birjand, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Naser</FirstName>
					<LastName>Hashemi</LastName>
<Affiliation>Department of Mathematics and Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>01</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>This paper considered the cost constrained vehicle scheduling problem under the constraint that the total number of vehicles is known in advance. Each depot has a different time processing cost. The goal of this problem is to find a feasible minimum cost schedule for vehicles. A mathematical formulation of the problem is developed and the complexity of the problem when there are more than two depots is investigated. It is proved that in this case, the problem is NP-complete. Also, it is showed that there is not any constant ratio approximation algorithm for the problem, i.e., it is in the complexity class APX.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Vehicle scheduling problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fixed job scheduling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">NP-complete</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Approximation algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">APX</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ajmc.aut.ac.ir/article_4274_ddf88ea64eaed0f3de5531ac964a0a1a.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
