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UET-scheduling with chain-type precedence constraints

Identifieur interne : 000A21 ( Istex/Corpus ); précédent : 000A20; suivant : 000A22

UET-scheduling with chain-type precedence constraints

Auteurs : Klaus Jansen ; Gerhard J. Woeginger ; Zhongliang Yu

Source :

RBID : ISTEX:E637099CC8CFB14017DE4194765EE8CD0FAF24D5

Abstract

We consider a special case of the precedence constrained scheduling problem of n unit execution time jobs on two parallel machines without preemption: the precedence constraints are chain-type and each job can be processed on only one of the two machines. We show that this problem is NP-complete in general, and we derive an approximation algorithm with constant worst case guarantee.

Url:
DOI: 10.1016/0305-0548(94)00084-L

Links to Exploration step

ISTEX:E637099CC8CFB14017DE4194765EE8CD0FAF24D5

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<ce:note-para>Klaus Jansen received a diploma degree in Computer Science from the RTWTH Aachen and a Ph.D. degree in computer science—mathematics from the University of Trier, Germany. He is currently Assistant Professor at the University of Trier, Germany. His research interests are in combinatorial optimization, scheduling, high-level synthesis and computational geometry. His publications have appeared in BIT, Commentationes Mathematicae Universitatis Carolinae, Computational Geometry, Computers & Operations Research, Discrete Applied Mathematics, and other Journals.</ce:note-para>
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<title>UET-scheduling with chain-type precedence constraints</title>
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<title>UET-scheduling with chain-type precedence constraints</title>
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<name type="personal">
<namePart type="given">Klaus</namePart>
<namePart type="family">Jansen</namePart>
<affiliation>Fachbereich IV, Mathematik und Informatik, Universität Trier, Postfach 3825, D-54286 Trier, Germany</affiliation>
<affiliation>‡ Klaus Jansen received a diploma degree in Computer Science from the RTWTH Aachen and a Ph.D. degree in computer science—mathematics from the University of Trier, Germany. He is currently Assistant Professor at the University of Trier, Germany. His research interests are in combinatorial optimization, scheduling, high-level synthesis and computational geometry. His publications have appeared in BIT, Commentationes Mathematicae Universitatis Carolinae, Computational Geometry, Computers & Operations Research, Discrete Applied Mathematics, and other Journals.</affiliation>
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<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Gerhard J.</namePart>
<namePart type="family">Woeginger</namePart>
<affiliation>To whom all correspondence should be addressed.</affiliation>
<affiliation>TU Graz, Institut für Mathematik B, Kopernikusgasse 24, A-8010 Graz, Austria</affiliation>
<affiliation>§ Gerhard J. Woeginger received his Ph.D. from the Technical University of Graz in 1990. He is currently Assistant Professor at the Technical University of Graz, Austria. His research interests include combinatorial optimization, scheduling and on-line proble,s. He has published in journals including OR Letters, SIAM Journal on Computing and SIAM Journal on Discrete Mathematics.</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zhongliang</namePart>
<namePart type="family">Yu</namePart>
<affiliation>TU Graz, Institut für Mathematik B, Kopernikusgasse 24, A-8010 Graz, Austria</affiliation>
<affiliation>| On leave from the Mathematics Section, Forestry University Nanjing, Nanjing, China.</affiliation>
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<dateIssued encoding="w3cdtf">1995</dateIssued>
<copyrightDate encoding="w3cdtf">1995</copyrightDate>
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<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
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<abstract lang="en">We consider a special case of the precedence constrained scheduling problem of n unit execution time jobs on two parallel machines without preemption: the precedence constraints are chain-type and each job can be processed on only one of the two machines. We show that this problem is NP-complete in general, and we derive an approximation algorithm with constant worst case guarantee.</abstract>
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<title>Computers and Operations Research</title>
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<titleInfo type="abbreviated">
<title>CAOR</title>
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<originInfo>
<dateIssued encoding="w3cdtf">199511</dateIssued>
</originInfo>
<identifier type="ISSN">0305-0548</identifier>
<identifier type="PII">S0305-0548(00)X0010-X</identifier>
<part>
<date>199511</date>
<detail type="volume">
<number>22</number>
<caption>vol.</caption>
</detail>
<detail type="issue">
<number>9</number>
<caption>no.</caption>
</detail>
<extent unit="issue pages">
<start>871</start>
<end>986</end>
</extent>
<extent unit="pages">
<start>915</start>
<end>920</end>
</extent>
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<identifier type="DOI">10.1016/0305-0548(94)00084-L</identifier>
<identifier type="PII">0305-0548(94)00084-L</identifier>
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