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Dissanayake, Bandara & Dahanayaka



                   5 CONCLUSION                          of final time table for the courses can quite
                                                         easily be obtained.
           First  we  have  selected level  1  subjects
       to  apply  colouring  methods  and  it  was  not                REFERENCES
       much applicable to reduce a number of time
       slots.  Because  when  we  were  in  first  year    Akkoyunlu, A. (1973). A linear algorithm
       there  was  only  three  combinations.  So  we      for  computing  the  optimum  university
       could  find  only  two  subjects  which  can  be    timetable.  The  Computer  Journal,  16(4),
       scheduled same time. Therefore, number of           347–350. .
       subjects is 13 and chromatic number is 12.         Alvarez-Valdes.,  Martin,  G.,  &  Tamarit,
                                                           J.M.  (1996).  Constructing  good  solutions
           Then we had not prepared a time table           for  the  Spanish  school  timetabling
       for level 2. That was because it is same as         problem.  Journal  of  the  Operational
       level  1-time  table.  In  other  words,  the       Research Society.
       second year also we had studied under same         Brelaz, D. (1979). New Methods to Color
       combinations as first year. Then we moved           the Vertices of a Graph Comm. A.C.M. 7,
       to  develop  level  4-time  table  which  was       494-498.
       much difficult than level 1-time table, due to     Burke, E.K., Elliman, E.D., &  Weare, R.
       several subject combinations of joint major         (1993). A University Timetabling System
       and  also  specialized  areas.  After  applying     based on Graph Colouring and Constraint
       graph colouring method we could find that,          Manipulation.  Journal  of  Research  on
       although there were 17 number of subjects,          Computing in Education, 26.
       chromatic number was only 11. So we can            Cangalovi.  C.,  &  Schreuder,  J.A.M.
       conclude  that  it  can  be  minimized  the         (1991).  Exact  coloring  algorithm  for
       number  of  time  slots  by  using  graph           weighted  graph  applied  to  timetabling
       colouring method.                                   problems with lectures of different length.

           As our final target, we collected level 3       Journal  of  Operational  Research,  51(2),
       course  details  to  prepare  the  time  table  by   248–258.
       using  graph  colouring  method.  This  is  the    Elliman,  B.D.,  &  Weare,  R.  (1993).
       most  complicated  time  schedule  in  our          Extensions    to   a   university   exam
       faculty.  Because  there  are  some  students       timetabling    system.    In    IJCAI-93
       who  follow  one  of  the  specialized  areas,      Workshop        on      knowledge-based
       there is another set of students who studies        production,  planning,  scheduling  and
       for  general  degree  and  others  are  divided     control, 42–48, Chambery, France.
       into  above  12  joint  major  degree  courses.    Johnson,  D.S.  (1974).  Worst  Case
       That is the reason for complexity of level 3-       Behaviour  of  Graph  Coloring  Algorithms
       time  table.  After  applying  graph  coloring      in  Proc.  5th  SE  Conf.  on  Combinatorics,
       method, we could found that, although there         Graph Theory and Computing. Winnipeg,
       were  18  number  of  subjects,  chromatic          Canada:  Utilitas  Mathematica  Publishing,
       number  was  only  16.  It  means  we  can          513-528.
       arrange  the  time  table  using  only  16         Johnson,  D.S.,  Aragon,  C.R.,  Mcgeoch,
       different time slots for 18 subjects. Although      L.A., & Schevon, C. (1991). Optimization
       we  have  considered  only  student  clashes,       by simulated Annealing: An Experimental
       from  this  time  table  anyone  can  assign  the   Evaluation;  Part  II.  Graph  Coloring  and
       course  to  classrooms  based  on  room             Number       Partitioning     Operations
       capacity  &  availability  and  also  based  on     Research, 39, 378-406.
       availability  of  lecturers.  This  study  can  be    Mathaisel,  D.F.X.,  &  Commc,  L.  (1991).
       further  developed  by  considering  above          Course  and  classroom  scheduling:  An
       mentioned  constraints.  Once  a  course  time      interactive  computer  graphics  approach.
       table is constructed, a conflict-free schedule      Journal of Sys. Software, 15, 149-157.





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