메뉴 건너뛰기




Volumn 34, Issue 8, 2007, Pages 2450-2462

Parallel partitioning method (PPM): A new exact method to solve bi-objective problems

Author keywords

Bi objective problem; Exact method; Permutation flowshop

Indexed keywords

NUMERICAL METHODS; PROBLEM SOLVING; SCHEDULING;

EID: 33846076651     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2005.09.014     Document Type: Article
Times cited : (33)

References (17)
  • 1
    • 0001322778 scopus 로고    scopus 로고
    • A survey and annoted bibliography of multiobjective combinatorial optimization
    • Ehrgott M., and Gandibleux X. A survey and annoted bibliography of multiobjective combinatorial optimization. OR Spektrum 22 4 (2000) 425-460
    • (2000) OR Spektrum , vol.22 , Issue.4 , pp. 425-460
    • Ehrgott, M.1    Gandibleux, X.2
  • 3
    • 0015094608 scopus 로고
    • On a bicriterion formulation of the problems of integrated system identification and system optimization
    • Haimes Y., Ladson L., and Wismer D. On a bicriterion formulation of the problems of integrated system identification and system optimization. IEEE Transaction on System, Man and Cybernetics 1 (1971) 296-297
    • (1971) IEEE Transaction on System, Man and Cybernetics , vol.1 , pp. 296-297
    • Haimes, Y.1    Ladson, L.2    Wismer, D.3
  • 5
    • 0013458646 scopus 로고
    • The two phases method: an efficient procedure to solve bi-objective combinatorial optimization problems
    • Ulungu E., and Teghem J. The two phases method: an efficient procedure to solve bi-objective combinatorial optimization problems. Foundations of Computing and Decision Sciences 20 2 (1995) 149-165
    • (1995) Foundations of Computing and Decision Sciences , vol.20 , Issue.2 , pp. 149-165
    • Ulungu, E.1    Teghem, J.2
  • 6
    • 0346009089 scopus 로고    scopus 로고
    • Improved genetic algorithm for the permutation flowshop scheduling problem
    • Iyer S.K., and Saxena B. Improved genetic algorithm for the permutation flowshop scheduling problem. Computers and Operations Research 31 4 (2004) 593-606
    • (2004) Computers and Operations Research , vol.31 , Issue.4 , pp. 593-606
    • Iyer, S.K.1    Saxena, B.2
  • 7
    • 7544243412 scopus 로고    scopus 로고
    • Comparison of heuristics for flowtime minimisation in permutation flowshops
    • Framinan J.M., Leisten R., and Ruiz-Usano R. Comparison of heuristics for flowtime minimisation in permutation flowshops. Computers and Operations Research 32 5 (2005) 1237-1254
    • (2005) Computers and Operations Research , vol.32 , Issue.5 , pp. 1237-1254
    • Framinan, J.M.1    Leisten, R.2    Ruiz-Usano, R.3
  • 8
    • 27344438602 scopus 로고    scopus 로고
    • Fondrevelle J, Oulamara A, Portmann M. Permutation flowshop scheduling problems with maximal and minimal time lags. Computers and Operations Research 2005;33(6):1540-56.
  • 12
    • 0000474126 scopus 로고
    • Minimizing total tardiness on one machine is NP-hard
    • Du J., and Leung J.Y.-T. Minimizing total tardiness on one machine is NP-hard. Mathematics of Operations Research 15 (1990) 483-495
    • (1990) Mathematics of Operations Research , vol.15 , pp. 483-495
    • Du, J.1    Leung, J.Y.-T.2
  • 13
    • 33846046868 scopus 로고    scopus 로고
    • Lemesre J, Dhaenens C, Talbi E. An exact parallel method for a bi-objective permutation flowshop problem. European Journal of Operational Research, to appear.
  • 14
    • 0000934663 scopus 로고    scopus 로고
    • Two-phases method and branch and bound procedures to solve the bi-objective knapsack problem
    • Visée M., Teghem J., Pirlot M., and Ulungu E. Two-phases method and branch and bound procedures to solve the bi-objective knapsack problem. Journal of Global Optimization 12 (1998) 139-155
    • (1998) Journal of Global Optimization , vol.12 , pp. 139-155
    • Visée, M.1    Teghem, J.2    Pirlot, M.3    Ulungu, E.4
  • 16
    • 0029224965 scopus 로고
    • A genetic algorithm for flowshop sequencing
    • Reeves C. A genetic algorithm for flowshop sequencing. Computers and Operations Research 22 (1995) 5-13
    • (1995) Computers and Operations Research , vol.22 , pp. 5-13
    • Reeves, C.1
  • 17
    • 35048892543 scopus 로고    scopus 로고
    • Basseur M, Lemesre J, Dhaenens C, Talbi E-G. Cooperation between branch and bound and evolutionary approaches to solve a biobjective flow shop problem. In: Workshop on experimental and efficient algorithms (WEA'04), Rio de Janeiro, Brasil; 2004. p. 72-86.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.