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  <titleInfo>
    <nonSort>The </nonSort>
    <title>hybridisation of heuristic method to solve the ITC2007 examination timetabling problem</title>
  </titleInfo>
  <name type="personal">
    <namePart>Khor, Sze Khim</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2013</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiii, 82 p. : ill. ; 30 cm. + 1 CD-ROM</extent>
  </physicalDescription>
  <abstract>The examination timetabling (exam-timeslot-room assignment) problem involves assigning exams to a specific or limited number of timeslots and rooms, with the aim of satisfying the hard constraints and soft constraints as much as possible. Most of the techniques reported in the literature have been applied to solve simplified examination benchmark datasets, available within the scientific literature. For this research, the dataset is drawn from the examination track of the second International Timetabling Competition (ITC2007). This dataset had several novel constraints, in addition to those commonly used in the literature. There are a total of twelve data set that are having different features (i.e. number of exam, number of timeslot and also number of room). A hybridization of graph heuristic and hill climbing is being used to solve the timetabling problem. For the graph heuristic method, it is being used to generate an initial solution. After that, the solution is improved by using the hill climbing method. At the end, it will produce a better solution that fulfill all the require constraints.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Khor Sze Khim</note>
  <note>Project paper (Bachelor of  Computer Science (Software Engineering) -- Universiti Malaysia Pahang - 2012</note>
  <note>Bibliography : p.71-77</note>
  <subject authority="lcsh">
    <topic>System design</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Management information systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Online data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Heuristic programming</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Examinations</topic>
    <topic>Timetables</topic>
  </subject>
  <identifier type="isbn">THE0001981(Local)</identifier>
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    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">140124</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204610.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000076645</recordIdentifier>
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