<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN"
        "https://jats.nlm.nih.gov/publishing/1.4/JATS-journalpublishing1-4.dtd">
<article  article-type="research-article"        dtd-version="1.4">
            <front>

                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2147-5881</issn>
                                                                                            <publisher>
                    <publisher-name>Pamukkale Üniversitesi</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id/>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Engineering</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Mühendislik</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Karesel atama problemleri için tavlama benzetimi paralelleştirme yöntemlerinin karşılaştırılması</article-title>
                                                                                                                                                                                                <trans-title-group xml:lang="en">
                                    <trans-title>Comparison of simulated annealing parallelization methods for quadratic assignment problems</trans-title>
                                </trans-title-group>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-8121-9300</contrib-id>
                                                                <name>
                                    <surname>Akkaş</surname>
                                    <given-names>Selahattin</given-names>
                                </name>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-9050-9219</contrib-id>
                                                                <name>
                                    <surname>Kavaklıoğlu</surname>
                                    <given-names>Kadir</given-names>
                                </name>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20181012">
                    <day>10</day>
                    <month>12</month>
                    <year>2018</year>
                </pub-date>
                                        <volume>24</volume>
                                        <issue>5</issue>
                                        <fpage>898</fpage>
                                        <lpage>905</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20170609">
                        <day>06</day>
                        <month>09</month>
                        <year>2017</year>
                    </date>
                                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2013, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi</copyright-statement>
                    <copyright-year>2013</copyright-year>
                    <copyright-holder>Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>Kareselatama problemi (KAP), NP-hard sınıfındaki en zor kombinatoryal optimizasyonproblemlerinden birisidir. Problemin zorluğundan dolayı birçok araştırmacı butip atama problemini çalışılmaktadır. Bu çalışmada tavlama benzetimi yöntemiMATLAB platformunda paralelleştirilerek iyi bilinen bir KAP Kütüphanesi olanQAPLIB’den alınan 36 örnek problemi çözmek için kullanılmıştır. Değişikparalelleştirme yöntemlerinin performansları kullanılan problemler içinkarşılaştırılmıştır. Sonuç olarak seri tavlama benzetimi yöntemiylekarşılaştırıldığında, paralel yöntemlerin uygun parametreler kullanıldığındadaha hızlı sonuç verdiği görülmüştür.</p></abstract>
                                                                                                                                    <trans-abstract xml:lang="en">
                            <p>Quadraticassignment problem (QAP) is one of the most difficult combinatorialoptimization problems in the NP-hard class. Due to the difficulty of theproblem, many researchers have been studying this type of assignment problem.In this work, simulated annealing method is parallelized on MATLAB platform andis used to solve 36 problems from QAPLIB which is a well-known QAP library. Theperformance of different parallelization methods is compared for the problemsused. As a result, when compared with the serial simulated annealing method, itis seen that the parallel methods give faster results when the appropriateparameters are used.</p></trans-abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Karesel atama problemi</kwd>
                                                    <kwd>  Paralel programlama</kwd>
                                                    <kwd>  Tavlama benzetimi</kwd>
                                                    <kwd>  Optimizasyon</kwd>
                                            </kwd-group>
                                                        
                                                                            <kwd-group xml:lang="en">
                                                    <kwd>Quadratic assignment problem</kwd>
                                                    <kwd>  Parallel programming</kwd>
                                                    <kwd>  Simulated annealing</kwd>
                                                    <kwd>  Optimization</kwd>
                                            </kwd-group>
                                                                                                            </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">Koopmans TC, Beckmann M. “Assignment problems and the location of economic activities”. Econometrica, 25(1), 53-76, 1957.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">Loiola EM, de Abreu NMM, Boaventura-Netto PO, Hahn P, Querido T. “A survey for the quadratic assignment problem”. Europian Journal of Operational Research, 176(2), 657-690, 2007.</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">Paul G. “Comparative performance of tabu search and simulated annealing heuristics for the quadratic assignment problem”. Operations Research Letters, 38(6), 577-581, 2010.</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">Onbaşoǧlu E, Özdamar L. “Parallel simulated annealing algorithms in global optimization”. Journal of Global Optimization, 19(1), 27-50, 2001.</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">Ferreiro AM, García JA, López-Salas JG, Vázquez C. “An efficient implementation of parallel simulated annealing algorithm in GPUs”. Journal of Global Optimization, 57(3), 863-890, 2013.</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">Laursen PS. “Parallel heuristic search-introductions and a new approach”. Solving Combinatorial Optimization Problems in Parallel. Editors: Ferreira A, Pardalos P. Lecture Notes in Computer Science, 1054, 248-274, 1996.</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">Holmqvist K, Migdalas A, Pardalos PM. Parallelized Heuristics for Combinatorial Search. Editors: Migdalas A, Pardalos PM, Storøy S. Parallel Computing in Optimization, 269-294, Boston, MA, USA, Springer, 1997.</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">Hussin MS, Stützle T. “Tabu search vs. simulated annealing as a function of the size of quadratic assignment problem instances”. Computers &amp; Operation Research, 43, 286-291, 2014.</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">Said GAENA, Mahmoud AM, El-Horbaty ESM. “A comparative study of meta-heuristic algorithms for solving quadratic assignment problem”. International Journal of Advanced Computer Science and Applications, 5(1), 1-6, 2014.</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">Karami M, Niroomand S, Mirzaei N, Vizvari B. “Analysis and performance measurement of existing solution methods of quadratic assignment problem”. International Journal of Electronics, Mechanical and Mechatronics Engineering, 3(2), 557-570, 2014.</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">Ghandeshtani KS, Mollai N, Seyedkashi SMH, Neshati MM. “New simulated annealing algorithm for quadratic assignment problem”. ADVCOMP 2010: The Fouth International Conference on Advanced Engineering Computing and Applications in Sciences, Florence, Italy, 25-30 October 2010.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">Wang JC. “A multistart simulated annealing algorithm for the quadratic assignment problem”. 3rd International Conference on Innovations in Bio-Inspired Computing and Applications, Kaohsiung, Taiwan, 26-28 September 2012.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">Kovac M. “Solving quadratic assignment problem in parallel using local search with simulated annealing elements”. The International Conference on Digital Technologies 2013, Zilina, Slovakia 29-31 May 2013.</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">Kaviani MA, Abbasi M, Rahpeyma B, Yusefi MM. “A hybrid tabu search-simulated annealing method to solve quadratic assignment problem”. Decision Science Letters, 3(3), 391-396, 2014.</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">Paul G. “A GPU implementation of the simulated annealing heuristic for the quadratic assignment problem”. Computing Research Repository, arXiv: 1208.2675, 2012.</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">Rao SS. Engineering Optimization Theory and Practice. 4th ed. New Jersey, USA, Wiley, 2009.</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">Chen H, Flann NS, Watson DW. “Parallel genetic simulated annealing: a massively parallel SIMD algorithm”. IEEE Transactions on Parallel and Distributed Systems, 9(2), 126-136, 1998.</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">Burkard RE, Çela E, Karisch SE, Rendl F. &quot;QAPLIB”. http://anjos.mgi.polymtl.ca/qaplib/ (09.05.2017).</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">Nugent CE, Vollmann TE, Ruml J. “An experimental comparison of techniques for the assignment of facilities to locations”. Operations Research, 16(1), 150-173, 1968.</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">Skorin-Kapov J. “Tabu search applied to the quadratic assignment problem”. ORSA Journal of Computing, 2(1), 33-45, 1990.</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">Burkard RE, Karisch SE, Rendl F. “QAPLIB A quadratic assignment problem library”. Journal of Global Optimization, 10(4), 391-403, 1997.</mixed-citation>
                    </ref>
                                    <ref id="ref22">
                        <label>22</label>
                        <mixed-citation publication-type="journal">Li Y, Pardalos PM. “Generating quadratic assignment test problems with known optimal permutations”. Computational Optimization and Applications, 1(2), 163-184, 1992.</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
