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Volumn , Issue , 2005, Pages 81-89

Randomized large neighborhood search for cumulative scheduling

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT PROGRAMMING; CONSTRAINT-BASED; EARLINESS/TARDINESS; EMPIRICAL PERFORMANCE ANALYSIS; JOB SHOP SCHEDULING PROBLEMS; LARGE NEIGHBORHOOD SEARCH; SCHEDULING PROBLEM; TIME SCHEDULES;

EID: 84890309169     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (18)
  • 1
    • 0026126118 scopus 로고
    • A computational study of the job-shop scheduling problem
    • Applegate, D. and Cook, W. 1991. A computational study of the job-shop scheduling problem. ORSA Journal on Computing 3(2): 149-156.
    • (1991) ORSA Journal on Computing , vol.3 , Issue.2 , pp. 149-156
    • Applegate, D.1    Cook, W.2
  • 2
    • 0033479482 scopus 로고    scopus 로고
    • Satisfiability tests and time-bound adjustments for cumulative scheduling problems
    • Baptiste, P.; Le Pape, C. and Nuijten, W. 1999. Satisfiability tests and time-bound adjustments for cumulative scheduling problems. Annals of Operations Research 92:305-333.
    • (1999) Annals of Operations Research , vol.92 , pp. 305-333
    • Baptiste, P.1    Le Pape, C.2    Nuijten, W.3
  • 7
    • 85010718076 scopus 로고    scopus 로고
    • Complete MCS-based search: Application to resource constrained project scheduling
    • Laborie, P. 2005. Complete MCS-Based Search: Application to Resource Constrained Project Scheduling. In Technical report ILOG-05-001.
    • (2005) Technical Report ILOG-05-001
    • Laborie, P.1
  • 9
    • 0028442512 scopus 로고
    • Implementation of resource constraints in ilog schedule: A library for the development of constraint-based scheduling systems
    • Le Pape, C. 1994. Implementation of resource constraints in ilog schedule: A library for the development of constraint-based scheduling systems. Intelligent Systems Engineering 3(2):55-66.
    • (1994) Intelligent Systems Engineering , vol.3 , Issue.2 , pp. 55-66
    • Le Pape, C.1
  • 10
    • 0026822242 scopus 로고
    • An iterative scheduling technique for resource-constrained project scheduling
    • Li, K. and Willis, R. 1992. An iterative scheduling technique for resource-constrained project scheduling. European Journal of Operational Research 56:370-379.
    • (1992) European Journal of Operational Research , vol.56 , pp. 370-379
    • Li, K.1    Willis, R.2
  • 13
    • 0032014495 scopus 로고    scopus 로고
    • Constraint-based job shop scheduling with ILOG SCHEDULER
    • Nuijten, W. and Le Pape, C. 1998. Constraint-based job shop scheduling with ILOG SCHEDULER. Journal of Heuristics 3:271-286.
    • (1998) Journal of Heuristics , vol.3 , pp. 271-286
    • Nuijten, W.1    Le Pape, C.2
  • 15
    • 0030125477 scopus 로고    scopus 로고
    • A computational study of constraint satisfaction for multiple capacitated job shop scheduling
    • Nuijten, W. and Aarts, E. 1996. A computational study of constraint satisfaction for multiple capacitated job shop scheduling. European Journal of Operational Research 90(2):269-284.
    • (1996) European Journal of Operational Research , vol.90 , Issue.2 , pp. 269-284
    • Nuijten, W.1    Aarts, E.2
  • 16
    • 4444294743 scopus 로고    scopus 로고
    • LSSPER: Solving the resource-constrained project scheduling problem with large neighbourhood search
    • Palpant, M.; Artigues, C.; and Michelon, P. 2004. LSSPER: Solving the resource-constrained project scheduling problem with large neighbourhood search. Annals of Operations Research 31(1 ):237-257.
    • (2004) Annals of Operations Research , vol.31 , Issue.1 , pp. 237-257
    • Palpant, M.1    Artigues, C.2    Michelon, P.3
  • 18
    • 0000383174 scopus 로고    scopus 로고
    • Using constraint programming and local search methods to solve vehicle routing problems
    • Shaw, P. 1998. Using constraint programming and local search methods to solve vehicle routing problems. In Proceeding CP98.
    • (1998) Proceeding CP98
    • Shaw, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.