메뉴 건너뛰기




Volumn 34, Issue 1, 2012, Pages 133-154

Cyclic transfers in school timetabling

Author keywords

Cyclic transfer; High school; Scheduling; Timetabling

Indexed keywords


EID: 84855233837     PISSN: 01716468     EISSN: 14366304     Source Type: Journal    
DOI: 10.1007/s00291-010-0227-y     Document Type: Article
Times cited : (10)

References (49)
  • 1
    • 33846865758 scopus 로고    scopus 로고
    • Investigating Ahuja-Orlin's large neighbourhood search approach for examination timetabling
    • Abdullah S, Ahmadi S, Burke EK, Dror M (2007) Investigating Ahuja-Orlin's large neighbourhood search approach for examination timetabling. OR Spectr 29: 351-372.
    • (2007) OR Spectr , vol.29 , pp. 351-372
    • Abdullah, S.1    Ahmadi, S.2    Burke, E.K.3    Dror, M.4
  • 2
    • 35348877211 scopus 로고    scopus 로고
    • A tabu-based large neighbourhood search methodology for the capacitated examination timetabling problem
    • Abdullah S, Ahmadi S, Burke EK, Dror M, McCollum B (2007) A tabu-based large neighbourhood search methodology for the capacitated examination timetabling problem. J Oper Res Soc 58: 1494-1502.
    • (2007) J Oper Res Soc , vol.58 , pp. 1494-1502
    • Abdullah, S.1    Ahmadi, S.2    Burke, E.K.3    Dror, M.4    McCollum, B.5
  • 3
    • 0025725556 scopus 로고
    • Constructing school timetables using simulated annealing: sequential and parallel algorithms
    • Abramson D (1991) Constructing school timetables using simulated annealing: sequential and parallel algorithms. Manag Sci 37: 98-113.
    • (1991) Manag Sci , vol.37 , pp. 98-113
    • Abramson, D.1
  • 7
    • 0012818286 scopus 로고    scopus 로고
    • Multi-exchange neighborhood structures for the capacitated minimum spanning tree problem
    • Ahuja R, Orlin J, Sharma D (2001) Multi-exchange neighborhood structures for the capacitated minimum spanning tree problem. Math Program 91: 71-97.
    • (2001) Math Program , vol.91 , pp. 71-97
    • Ahuja, R.1    Orlin, J.2    Sharma, D.3
  • 8
    • 84867980790 scopus 로고    scopus 로고
    • A survey of very large-scale neighborhood search techniques
    • Ahuja RK, Ergun O, Orlin JB, Punnen AP (2002) A survey of very large-scale neighborhood search techniques. Discret Appl Math 123: 75-102.
    • (2002) Discret Appl Math , vol.123 , pp. 75-102
    • Ahuja, R.K.1    Ergun, O.2    Orlin, J.B.3    Punnen, A.P.4
  • 10
    • 0030269388 scopus 로고    scopus 로고
    • Constructing good solutions for the Spanish school timetabling problem
    • Alvarez-Valdes R, Martin G, Tamarit JM (1996) Constructing good solutions for the Spanish school timetabling problem. J Oper Res Soc 47: 1203-1215.
    • (1996) J Oper Res Soc , vol.47 , pp. 1203-1215
    • Alvarez-Valdes, R.1    Martin, G.2    Tamarit, J.M.3
  • 13
    • 28044459377 scopus 로고    scopus 로고
    • Accelerated label setting algorithms for the elementary resource constrained shortest path problem
    • Boland N, Dethridge J, Dumitrescu I (2006) Accelerated label setting algorithms for the elementary resource constrained shortest path problem. Oper Res Lett 34: 58-68.
    • (2006) Oper Res Lett , vol.34 , pp. 58-68
    • Boland, N.1    Dethridge, J.2    Dumitrescu, I.3
  • 14
    • 0037118761 scopus 로고    scopus 로고
    • Recent research directions in automated timetabling
    • Burke EK, Petrovic S (2002) Recent research directions in automated timetabling. Eur J Oper Res 140: 266-280.
    • (2002) Eur J Oper Res , vol.140 , pp. 266-280
    • Burke, E.K.1    Petrovic, S.2
  • 15
    • 84957033677 scopus 로고    scopus 로고
    • Recent developments in practical course timetabling
    • In: Burke E, Carter M (eds), Lecture notes in computer science, Springer, Berlin
    • Carter MW, Laporte G (1998) Recent developments in practical course timetabling. In: Burke E, Carter M (eds) Practice and theory of automated timetabling II. Lecture notes in computer science, vol 1408. Springer, Berlin, pp 3-19.
    • (1998) Practice and theory of automated timetabling II , vol.1408 , pp. 3-19
    • Carter, M.W.1    Laporte, G.2
  • 19
    • 0027851616 scopus 로고
    • The solution of real instances of the timetabling problem
    • Cooper TB, Kingston J (1993) The solution of real instances of the timetabling problem. Comput J 36: 645-653.
    • (1993) Comput J , vol.36 , pp. 645-653
    • Cooper, T.B.1    Kingston, J.2
  • 21
    • 0040701871 scopus 로고
    • A computer timetabling system for secondary schools in the Netherlands
    • de Gans OB (1981) A computer timetabling system for secondary schools in the Netherlands. Eur J Oper Res 7: 175-182.
    • (1981) Eur J Oper Res , vol.7 , pp. 175-182
    • de Gans, O.B.1
  • 22
    • 38549165650 scopus 로고    scopus 로고
    • In: Burke E, Rudová H (eds) Practice and theory of automated timetabling VI. Lecture Notes in Computer Science,. Springer, Berlin
    • de Haan P, Landman R, Post G, Ruizenaar H (2007) A case study for timetabling in a Dutch secondary school. In: Burke E, Rudová H (eds) Practice and theory of automated timetabling VI. Lecture Notes in Computer Science, vol 3867. Springer, Berlin, pp 267-279.
    • (2007) A case study for timetabling in a Dutch secondary school , vol.3867 , pp. 267-279
    • de Haan, P.1    Landman, R.2    Post, G.3    Ruizenaar, H.4
  • 23
    • 0022014119 scopus 로고
    • An introduction to timetabling
    • de Werra D (1985) An introduction to timetabling. Eur J Oper Res 19: 151-162.
    • (1985) Eur J Oper Res , vol.19 , pp. 151-162
    • de Werra, D.1
  • 24
    • 0042208608 scopus 로고    scopus 로고
    • On a multiconstrained model for chromatic scheduling
    • de Werra D (1999) On a multiconstrained model for chromatic scheduling. Discret Appl Math 94.
    • (1999) Discret Appl Math 94
    • de Werra, D.1
  • 25
    • 8344239073 scopus 로고    scopus 로고
    • A study of exponential neighborhoods for the travelling salesman problem and for the quadratic assignment problem
    • Deineko V, Woeginger G (2000) A study of exponential neighborhoods for the travelling salesman problem and for the quadratic assignment problem. Math Programm 87: 255-279.
    • (2000) Math Programm , vol.87 , pp. 255-279
    • Deineko, V.1    Woeginger, G.2
  • 26
    • 0031246797 scopus 로고    scopus 로고
    • Distribution requirements and compactness constraints in school timetabling
    • Drexl A, Salewski F (1997) Distribution requirements and compactness constraints in school timetabling. Eur J Oper Res 102: 193-214.
    • (1997) Eur J Oper Res , vol.102 , pp. 193-214
    • Drexl, A.1    Salewski, F.2
  • 28
    • 0026417190 scopus 로고
    • Tabu search for large scale timetabling problems
    • Hertz A (1991) Tabu search for large scale timetabling problems. Eur J Oper Res 54: 39-47.
    • (1991) Eur J Oper Res , vol.54 , pp. 39-47
    • Hertz, A.1
  • 30
    • 27144499696 scopus 로고    scopus 로고
    • Modelling timetabling problems with STTL
    • In: Burke EK, Erben W (eds), Lecture notes in computer science. Springer, Berlin
    • Kingston JH (2001) Modelling timetabling problems with STTL. In: Burke EK, Erben W (eds) Practice and theory of automated timetabling III. Lecture notes in computer science, vol 2079. Springer, Berlin, pp 309-321.
    • (2001) Practice and theory of automated timetabling III , vol.2079 , pp. 309-321
    • Kingston, J.H.1
  • 31
    • 33646006356 scopus 로고    scopus 로고
    • A tiling algorithm for high school timetabling
    • In: Burke E, Trick M (eds),Lecture notes in computer science. Springer, Berlin
    • Kingston JH (2005) A tiling algorithm for high school timetabling. In: Burke E, Trick M (eds) Practice and theory of automated timetabling V. Lecture notes in computer science, vol 3616. Springer, Berlin, pp 208-225.
    • (2005) Practice and theory of automated timetabling V , vol.3616 , pp. 208-225
    • Kingston, J.H.1
  • 32
    • 0010603512 scopus 로고
    • An integer linear programming model of a school timetabling problem
    • Lawrie NH (1969) An integer linear programming model of a school timetabling problem. Comput J 12: 307-316.
    • (1969) Comput J , vol.12 , pp. 307-316
    • Lawrie, N.H.1
  • 33
    • 0015604699 scopus 로고
    • An effective heuristic algorithm for the traveling salesman problem
    • Lin S, Kernighan B (1973) An effective heuristic algorithm for the traveling salesman problem. Oper Res 21: 498-516.
    • (1973) Oper Res , vol.21 , pp. 498-516
    • Lin, S.1    Kernighan, B.2
  • 34
    • 38549108935 scopus 로고    scopus 로고
    • Very large-scale neighborhood search techniques in timetabling problems
    • In: Burke E, Rudová H (eds) Lecture notes in computer science
    • Meyers C, Orlin JB (2007) Very large-scale neighborhood search techniques in timetabling problems. In: Burke E, Rudová H (eds) Practice and theory of automated timetabling VI. Lecture notes in computer science, vol 3867, pp 24-39.
    • (2007) Practice and theory of automated timetabling VI , vol.3867 , pp. 24-39
    • Meyers, C.1    Orlin, J.B.2
  • 36
    • 84867965201 scopus 로고    scopus 로고
    • Domination analysis of some heuristics for the traveling salesman problem
    • Punnen A, Kabadi S (2002) Domination analysis of some heuristics for the traveling salesman problem. Discret Appl Math 119: 117-128.
    • (2002) Discret Appl Math , vol.119 , pp. 117-128
    • Punnen, A.1    Kabadi, S.2
  • 38
    • 34948821553 scopus 로고    scopus 로고
    • An efficient tabu search heuristic for the school timetabling problem
    • In: Ribeiro CC, Martins SL (eds), Lecture notes in computer science. Springer Verlag
    • Santos HG, Ochi LS, Souza MJF (2004) An efficient tabu search heuristic for the school timetabling problem. In: Ribeiro CC, Martins SL (eds) WEA 2004. Lecture notes in computer science, vol 3059. Springer Verlag, pp 468-481.
    • (2004) WEA 2004 , vol.3059 , pp. 468-481
    • Santos, H.G.1    Ochi, L.S.2    Souza, M.J.F.3
  • 40
    • 0032656663 scopus 로고    scopus 로고
    • A survey of automated timetabling
    • Schaerf A (1999) A survey of automated timetabling. Artif Intell Rev 13: 87-127.
    • (1999) Artif Intell Rev , vol.13 , pp. 87-127
    • Schaerf, A.1
  • 41
    • 0032656754 scopus 로고    scopus 로고
    • Local search techniques for large high school timetabling problems
    • Schaerf A (1999) Local search techniques for large high school timetabling problems. IEEE Trans Syst Man Cybern Part A Syst Hum 29: 368-377.
    • (1999) IEEE Trans Syst Man Cybern Part A Syst Hum , vol.29 , pp. 368-377
    • Schaerf, A.1
  • 42
    • 0037291553 scopus 로고    scopus 로고
    • Hopfield neural networks for timetabling: formulations, methods and comparative results
    • Smith KA, Abramson D, Duke D (2003) Hopfield neural networks for timetabling: formulations, methods and comparative results. Comput Indus Eng 44: 283-305.
    • (2003) Comput Indus Eng , vol.44 , pp. 283-305
    • Smith, K.A.1    Abramson, D.2    Duke, D.3
  • 43
  • 44
    • 0027667558 scopus 로고
    • Cyclic transfer algorithm for multivehicle routing and scheduling problems
    • Thompson PM, Psaraftis HN (1993) Cyclic transfer algorithm for multivehicle routing and scheduling problems. Oper Res 41: 935-946.
    • (1993) Oper Res , vol.41 , pp. 935-946
    • Thompson, P.M.1    Psaraftis, H.N.2
  • 45
    • 0037954438 scopus 로고    scopus 로고
    • Constraint programming approach for school timetabling
    • Valouxis C, Housos E (2003) Constraint programming approach for school timetabling. Comput Oper Res 30: 1555-1572.
    • (2003) Comput Oper Res , vol.30 , pp. 1555-1572
    • Valouxis, C.1    Housos, E.2
  • 47
    • 0030109996 scopus 로고    scopus 로고
    • School timetabling using heuristic search
    • Wright M (1996) School timetabling using heuristic search. J Oper Res Soc 47: 347-357.
    • (1996) J Oper Res Soc , vol.47 , pp. 347-357
    • Wright, M.1
  • 49
    • 13944266070 scopus 로고    scopus 로고
    • A very large-scale neighborhood search algorithm for the multi-resource generalized assignment problem
    • Yagiura M, Iwasaki S, Ibaraki T, Glover F (2004) A very large-scale neighborhood search algorithm for the multi-resource generalized assignment problem. Discret Optim 1: 87-98.
    • (2004) Discret Optim , vol.1 , pp. 87-98
    • Yagiura, M.1    Iwasaki, S.2    Ibaraki, T.3    Glover, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.