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        <identifier>oai:www.ideals.illinois.edu:2142/78688</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:date>2015-04-30</dc:date>
          <dc:date>2015-07-22T22:34:01Z</dc:date>
          <dc:date>2015-07-22T22:34:01Z</dc:date>
          <dc:date>2017-07-23T09:15:19Z</dc:date>
          <dc:date>2015-05</dc:date>
          <dc:creator>Parekh, Pratik Mayur</dc:creator>
          <dc:description>The deterministic annealing (DA) method, used for the solution of several nonconvex problems, offers the ability to avoid shallow local minima of a given cost surface and the ability to minimize the cost function even when there are many local minima. The method is established in a probabilistic framework through basic information-theoretic techniques such as maximum entropy and random coding. It arises naturally in the context of statistical mechanics by the emulation of a physical process whereby a solid is slowly cooled and at zero temperature assumes its minimum energy configuration. We start with the introduction to DA method and then present a tutorial to describe the algorithm steps. Also, we discuss the connections of DA method with Statistical Mechanics and Rate-Distortion Theory. Next, we present the application of DA method to pickup and deliver scheduling problem with time windows. Finally, a computational complexity analysis for DA is presented for a given temperature schedule. The case study focuses on the geometric cooling law $T(t)=\rho T(t-1), 0&lt;\rho&lt;1$, where $T(t)$ is the temperature at time $t$.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01</dc:description>
          <dc:description>The student, Pratik Mayur Parekh, accepted the attached license on 2015-04-29 at 11:47.</dc:description>
          <dc:description>The student, Pratik Mayur Parekh, submitted this Thesis for approval on 2015-04-29 at 11:54.</dc:description>
          <dc:description>This Thesis was approved for publication on 2015-04-30 at 15:06.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #8183 on 2015-07-22 at 14:19:02</dc:description>
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PAREKH-THESIS-2015.pdf: 1206816 bytes, checksum: 55dda3d59a2fd68c519e62a706ce7365 (MD5)
LICENSE.txt: 4216 bytes, checksum: 61153f08a4282ff58434bad3e7f8ee9d (MD5)
  Previous issue date: 2015-04-30</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 79929
Lift date: 2017-07-22T22:34:16Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 79929 on 2017-07-23T09:15:19Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/78688</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2015 Pratik Mayur Parekh</dc:rights>
          <dc:subject>Deterministic Annealing Algorithm</dc:subject>
          <dc:subject>Computational Aspects</dc:subject>
          <dc:title>Deterministic annealing algorithm: tutorial, application to pickup and delivery problem and computational aspects</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <dc:date>2015-5</dc:date>
          <degree>
            <department>Mechanical Sci &amp; Engineering</department>
            <discipline>Mechanical Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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