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Volumn 61, Issue 3, 2013, Pages 563-577

Generating applicable synthetic instances for branch problems

Author keywords

Data mining; Instance generation; Optimization; Timetabling

Indexed keywords

COMPUTATIONAL INFRASTRUCTURE; CORE PROBLEMS; CYBER INFRASTRUCTURES; GRAPH COLORINGS; INSTANCE GENERATION; INSTANCE GENERATOR; TIMETABLING; TIMETABLING PROBLEM;

EID: 84880072694     PISSN: 0030364X     EISSN: 15265463     Source Type: Journal    
DOI: 10.1287/opre.2013.1169     Document Type: Article
Times cited : (17)

References (46)
  • 1
    • 20544464593 scopus 로고    scopus 로고
    • Rigorous location of phase transitions in hard optimization problems
    • DOI 10.1038/nature03602
    • Achlioptas D, Naor A, Peres Y (2005) Rigorous location of phase transitions in hard optimization problems. Nature 435(7043):759-764. (Pubitemid 40839720)
    • (2005) Nature , vol.435 , Issue.7043 , pp. 759-764
    • Achlioptas, D.1    Naor, A.2    Peres, Y.3
  • 3
    • 4544226577 scopus 로고    scopus 로고
    • On a new collection of stochastic linear programming test problems
    • DOI 10.1287/ijoc.1030.0037
    • Ariyawansa KA, Felt AJ (2004) On a new collection of stochastic linear programming test problems. INFORMS J. Comput. 16(3):291-299. (Pubitemid 39253172)
    • (2004) INFORMS Journal on Computing , vol.16 , Issue.3 , pp. 291-299
    • Ariyawansa, K.A.1    Felt, A.J.2
  • 6
    • 56449107505 scopus 로고
    • OR-Library: Distributing test problems by electronic mail
    • Beasley JE (1990) OR-Library: Distributing test problems by electronic mail. J. Oper. Res. Soc. 41(11):1069-1072.
    • (1990) J. Oper. Res. Soc. , vol.41 , Issue.11 , pp. 1069-1072
    • Beasley, J.E.1
  • 9
    • 0018456690 scopus 로고
    • New methods to color the vertices of a graph
    • DOI 10.1145/359094.359101
    • Brélaz D (1979) New methods to color the vertices of a graph. Commun. ACM 22:251-256. (Pubitemid 9452014)
    • (1979) Commun ACM , vol.22 , Issue.4 , pp. 251-256
    • Brelaz Daniel1
  • 10
    • 70349279898 scopus 로고    scopus 로고
    • Decomposition, reformulation, and diving in university course timetabling
    • Burke EK, Marecek J, Parkes AJ, Rudová H (2010a) Decomposition, reformulation, and diving in university course timetabling. Comput. Oper. Res. 37(3):582-597.
    • (2010) Comput. Oper. Res. , vol.37 , Issue.3 , pp. 582-597
    • Burke, E.K.1    Marecek, J.2    Parkes, A.J.3    Rudová, H.4
  • 11
    • 77956056664 scopus 로고    scopus 로고
    • A supernodal formulation of vertex colouring with applications in course timetabling
    • Burke EK, Marecek J, Parkes AJ, Rudová H (2010b) A supernodal formulation of vertex colouring with applications in course timetabling. Ann. Oper. Res. 179(1):105-130.
    • (2010) Ann. Oper. Res. , vol.179 , Issue.1 , pp. 105-130
    • Burke, E.K.1    Marecek, J.2    Parkes, A.J.3    Rudová, H.4
  • 12
    • 78049531124 scopus 로고    scopus 로고
    • Optimisation and generalisation: Footprints in instance space
    • Lecture Notes in Computer Science, Vol. 6239 (Springer, Berlin)
    • Corne D, Reynolds A (2011) Optimisation and generalisation: Footprints in instance space. Parallel Problem Solving from Nature-PPSN XI. Lecture Notes in Computer Science, Vol. 6239 (Springer, Berlin), 22-31.
    • (2011) Parallel Problem Solving from Nature-PPSN XI , pp. 22-31
    • Corne, D.1    Reynolds, A.2
  • 13
    • 79957951203 scopus 로고    scopus 로고
    • Hidden solutions, tell-tales, heuristics and antiheuristics
    • Hoos H, Stuëtzle T, eds. (Morgan Kaufmann Publishers, Palo Alto, CA)
    • Culberson J (2001) Hidden solutions, tell-tales, heuristics and antiheuristics. Hoos H, Stuëtzle T, eds. IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence (Morgan Kaufmann Publishers, Palo Alto, CA), 9-14.
    • (2001) IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence , pp. 9-14
    • Culberson, J.1
  • 17
    • 84880057132 scopus 로고    scopus 로고
    • The generation of experimental data for computational testing in optimization
    • Bartz-Beielstein T, Chiarandini M, Paquete L, Preuss M, eds. (Springer, Berlin)
    • Hall N, Posner M (2010) The generation of experimental data for computational testing in optimization. Bartz-Beielstein T, Chiarandini M, Paquete L, Preuss M, eds. Experimental Methods for the Analysis of Optimization Algorithms (Springer, Berlin), 73-101.
    • (2010) Experimental Methods for the Analysis of Optimization Algorithms , pp. 73-101
    • Hall, N.1    Posner, M.2
  • 18
    • 0035521426 scopus 로고    scopus 로고
    • Generating experimental data for computational testing with machine scheduling applications
    • Hall NG, Posner ME (2001) Generating experimental data for computational testing with machine scheduling applications. Oper. Res. 49(6):854-865. (Pubitemid 34271873)
    • (2001) Operations Research , vol.49 , Issue.6 , pp. 854-865
    • Hall, N.G.1    Posner, M.E.2
  • 19
    • 38549095275 scopus 로고    scopus 로고
    • Performance prediction and preselection for optimization and heuristic solution procedures
    • DOI 10.1287/opre.1070.0398
    • Hall NG, Posner ME (2007) Performance prediction and preselection for optimization and heuristic solution procedures. Oper. Res. 55(4):703-716. (Pubitemid 351159551)
    • (2007) Operations Research , vol.55 , Issue.4 , pp. 703-716
    • Hall, N.G.1    Posner, M.E.2
  • 20
    • 0033884510 scopus 로고    scopus 로고
    • Effects of coefficient correlation structure in two-dimensional knapsack problems on solution procedure performance
    • Hill RR, Reilly CH (2000) The effects of coefficient correlation structure in two-dimensional knapsack problems on solution procedure performance. Management Sci. 46(2):302-317. (Pubitemid 30594354)
    • (2000) Management Science , vol.46 , Issue.2 , pp. 302-317
    • Hill, R.R.1    Reilly, C.H.2
  • 21
    • 0029362452 scopus 로고
    • Testing heuristics: We have it all wrong
    • Hooker JN (1995) Testing heuristics: We have it all wrong. J. Heuristics 1(1):33-42.
    • (1995) J. Heuristics , vol.1 , Issue.1 , pp. 33-42
    • Hooker, J.N.1
  • 22
    • 2942630889 scopus 로고    scopus 로고
    • A theoretician's guide to the experimental analysis of algorithms
    • Goldwasser MH, Johnson DS, McGeoch CC, eds., (American Mathematical Society, Providence, RI)
    • Johnson DS (2002) A theoretician's guide to the experimental analysis of algorithms. Goldwasser MH, Johnson DS, McGeoch CC, eds. Data Structures, Near Neighbor Searches, and Methodology: Fifth and Sixth DIMACS Implementation Challenges, Vol. 59 (American Mathematical Society, Providence, RI), 215-250.
    • (2002) Data Structures, Near Neighbor Searches, and Methodology: Fifth and Sixth DIMACS Implementation Challenges , vol.59 , pp. 215-250
    • Johnson, D.S.1
  • 23
    • 41849133087 scopus 로고    scopus 로고
    • Conditions that obviate the no-free-lunch theorems for optimization
    • Koehler GJ (2007) Conditions that obviate the no-free-lunch theorems for optimization. INFORMS J. Comput. 19(2):273-279.
    • (2007) INFORMS J. Comput , vol.19 , Issue.2 , pp. 273-279
    • Koehler, G.J.1
  • 24
    • 0025489075 scopus 로고    scopus 로고
    • The self-organizing map
    • Kohonen T (2002) The self-organizing map. Proc. IEEE 78(9):1464-1480.
    • (2002) Proc. IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 25
    • 33745208790 scopus 로고    scopus 로고
    • Hardness prediction for the university course timetabling problem
    • Gottlieb J, Raidl GR, eds. Lecture Notes in Computer Science, Vol. 3004 (Springer, Berlin)
    • Kostuch P, Socha K (2004) Hardness prediction for the university course timetabling problem. Gottlieb J, Raidl GR, eds. Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science, Vol. 3004 (Springer, Berlin), 135-144.
    • (2004) Evolutionary Computation in Combinatorial Optimization , pp. 135-144
    • Kostuch, P.1    Socha, K.2
  • 26
    • 68549128640 scopus 로고    scopus 로고
    • Empirical hardness models: Methodology and a case study on combinatorial auctions
    • Leyton-Brown K, Nudelman E, Shoham Y (2009) Empirical hardness models: Methodology and a case study on combinatorial auctions. J. ACM 56(4):1-52.
    • (2009) J. ACM , vol.56 , Issue.4 , pp. 1-52
    • Leyton-Brown, K.1    Nudelman, E.2    Shoham, Y.3
  • 28
    • 0037230473 scopus 로고    scopus 로고
    • The common optimization interface for operations research
    • Lougee-Heimer R (2000) The common optimization interface for operations research. IBM J. Res. Development 47(1):57-66.
    • (2000) IBM J. Res. Development , vol.47 , Issue.1 , pp. 57-66
    • Lougee-Heimer, R.1
  • 30
    • 0033536221 scopus 로고    scopus 로고
    • Determining computational complexity from characteristic 'phase transitions'
    • DOI 10.1038/22055
    • Monasson R, Zecchina R, Kirkpatrick S, Selman B, Troyansky L (1999) Determining computational complexity from characteristic "phase transitions." Nature 400(6740):133-137. (Pubitemid 29327535)
    • (1999) Nature , vol.400 , Issue.6740 , pp. 133-137
    • Monasson, R.1    Zecchina, R.2    Kirkpatrick, S.3    Selman, B.4    Troyansky, L.5
  • 32
    • 72249111115 scopus 로고    scopus 로고
    • ITC2007 solver description: A hybrid approach
    • Müller T (2009) ITC2007 solver description: A hybrid approach. Ann. Oper. Res. 172(1):429-446.
    • (2009) Ann. Oper. Res. , vol.172 , Issue.1 , pp. 429-446
    • Müller, T.1
  • 33
    • 0035334825 scopus 로고    scopus 로고
    • An improved tabu search method for the weighted constraint satisfaction problem
    • Nonobe K, Ibaraki T (2001) An improved tabu search method for the weighted constraint satisfaction problem. INFOR: Inform. Systems Oper. Res. 39(2):131-151. (Pubitemid 32496035)
    • (2001) INFOR , vol.39 , Issue.2 , pp. 131-151
    • Nonobe, K.1    Ibaraki, T.2
  • 35
    • 84863304598 scopus 로고    scopus 로고
    • R: A language and environment for statistical computing
    • R Development Core Team
    • R Development Core Team (2010) R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org.
    • (2010) R Foundation for Statistical Computing
  • 36
    • 68749116387 scopus 로고    scopus 로고
    • Synthetic optimization problem generation: Show us the correlations
    • Reilly CH (2009) Synthetic optimization problem generation: Show us the correlations! INFORMS J. Comput. 21(3):458-467.
    • (2009) INFORMS J. Comput. , vol.21 , Issue.3 , pp. 458-467
    • Reilly, C.H.1
  • 38
    • 84866852814 scopus 로고    scopus 로고
    • Generalising algorithm performance in instance space: A timetabling case study
    • Coello Coello CA, ed., Lecture Notes in Computer Science, Vol. 6683 (Springer, Berlin)
    • Smith-Miles K, Lopes L (2011) Generalising algorithm performance in instance space: A timetabling case study. Coello Coello CA, ed. Learning and Intelligent Optimization, Lecture Notes in Computer Science, Vol. 6683 (Springer, Berlin), 524-539.
    • (2011) Learning and Intelligent Optimization , pp. 524-539
    • Smith-Miles, K.1    Lopes, L.2
  • 39
    • 80052260522 scopus 로고    scopus 로고
    • Measuring instance difficulty for combinatorial optimization problems
    • Smith-Miles K, Lopes L (2012) Measuring instance difficulty for combinatorial optimization problems. Comput. Oper. Res. 39(5): 875-889.
    • (2012) Comput. Oper. Res. , vol.39 , Issue.5 , pp. 875-889
    • Smith-Miles, K.1    Lopes, L.2
  • 40
    • 84866870849 scopus 로고    scopus 로고
    • Measuring algorithm footprints in instance space
    • IEEE Press, Piscataway, NJ
    • Smith-Miles K, Tan TT (2012) Measuring algorithm footprints in instance space. Conf. Evolutionary Comput. (IEEE Press, Piscataway, NJ), 1-8.
    • (2012) Conf. Evolutionary Comput. , pp. 1-8
    • Smith-Miles, K.1    Tan, T.T.2
  • 41
    • 80855147859 scopus 로고    scopus 로고
    • Discovering the suitability of optimisation algorithms by learning from evolved instances
    • Smith-Miles KA, van Hemert J (2011) Discovering the suitability of optimisation algorithms by learning from evolved instances. Ann. Math. Artificial Intelligence 61(2):87-104.
    • (2011) Ann. Math. Artificial Intelligence , vol.61 , Issue.2 , pp. 87-104
    • Smith-Miles, K.A.1    Van Hemert, J.2
  • 42
    • 0002370079 scopus 로고
    • Comparison of iterative searches for the quadratic assignment problem
    • Taillard ED (1995) Comparison of iterative searches for the quadratic assignment problem. Location Sci. 3(2):87-105.
    • (1995) Location Sci. , vol.3 , Issue.2 , pp. 87-105
    • Taillard, E.D.1
  • 43
    • 14244258507 scopus 로고    scopus 로고
    • Distributed computing in practice: The Condor experience
    • DOI 10.1002/cpe.938, Grid Performance and Grids and Web Services for E-Science
    • Thain D, Tannenbaum T, Livny M (2005) Distributed computing in practice: The Condor experience. Concurrency-Practice and Experience 17(2-4):323-356. (Pubitemid 40285781)
    • (2005) Concurrency Computation Practice and Experience , vol.17 , Issue.2-4 , pp. 323-356
    • Thain, D.1    Tannenbaum, T.2    Livny, M.3
  • 44
    • 20444467670 scopus 로고    scopus 로고
    • Problem difficulty of real instances of convoy planning
    • DOI 10.1057/palgrave.jors.2601863
    • Tuson AL, Harrison SA (2005) Problem difficulty of real instances of convoy planning. J. Oper. Res. Soc. 56:763-775. (Pubitemid 40819933)
    • (2005) Journal of the Operational Research Society , vol.56 , Issue.7 , pp. 763-775
    • Tuson, A.L.1    Harrison, S.A.2
  • 46
    • 0031379277 scopus 로고    scopus 로고
    • An algorithm for finding a maximum clique in a graph
    • PII S0167637797000540
    • Wood DR (1997) An algorithm for finding a maximum clique in a graph. Oper. Res. Lett. 21(5):211-217. (Pubitemid 127437871)
    • (1997) Operations Research Letters , vol.21 , Issue.5 , pp. 211-217
    • Wood, D.R.1


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