<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet href="client.xsl" type="text/xsl"?>
<article article-type="other">
<front>
<journal-meta>
<journal-id/>
<issn/>
<banner>
<!--<href>banner.jpg</href>-->
<size width="100%"/>
</banner>
</journal-meta>
<article-meta>
<title-group>
<article-title>A Winner Determination Algorithm for Auction-Based Decentralized Scheduling</article-title></title-group>

<author><a href="mailto:cwang28@uwo.ca"><name>Chun Wang</name></a></author>
<aff>Department of Electrical and Computer Engineering The University of Western Ontario<br/> Thompson Engineering Building Room 279, London, Ontario, Canada<br/> N6A5B9 +1 519 6612111-80334, +1 519 6612111-88262</aff>

<author><a href="mailto:hghenniwa@eng.uwo.ca"><name>Hamada H. Ghenniwa</name></a></author>
<aff>Department of Electrical and Computer Engineering The University of Western Ontario<br/> Thompson Engineering Building Room 279, London, Ontario, Canada<br/> N6A5B9 +1 519 6612111-80334, +1 519 6612111-88262</aff>

<author><a href="mailto:Weiming.shen@nrc.ca"><name>Weiming Shen</name></a></author>
<aff>Integrated Manufacturing Technologies Institute, National Research Council Canada <br/>800 Collip Circle, London, Ontario, Canada N6G4X8 Tel: +1 519 4307134</aff>
</article-meta></front>
<body>
<abstract>
<title>ABSTRACT</title>
<p>This paper presents a formulation and an algorithm for the winner determination problem in auction-based decentralized scheduling. Without imposing a time line discretization, the proposed approach allows bidders to bid for the processing of a set of tasks under release time and due date constraints using an expressive bidding language designed for decentralized scheduling. The proposed winner determination algorithm uses a depth first branch and bound search. The search branches on bids and a constraint directed scheduling procedure is used at each node to verify the feasibility of the allocation. Experiments against a commercial optimization package, CPLEX 10.0, show that the proposed algorithm is more than an order of magnitude faster on average over a set of winner determination problems of decentralized scheduling generated based on a suite of job shop constraint satisfaction benchmark problems previously developed in the literature.</p>
</abstract>
<fpdf>
<href>pdflogo.jpg</href>
<hpdf>AAMAS07_0567_dc43aec1f51c309d8904e5c4310eb8a8</hpdf>
</fpdf>
</body>
</article>

