메뉴 건너뛰기




Volumn 30, Issue 4, 1996, Pages 1061-1071

Genetic algorithms for flowshop scheduling problems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; PROBLEM SOLVING; SCHEDULING; SIMULATED ANNEALING;

EID: 0030241443     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/0360-8352(96)00053-8     Document Type: Article
Times cited : (365)

References (19)
  • 1
    • 0003075019 scopus 로고
    • Optimal two- and three-stage production schedules with setup times included
    • S. M. Johnson. Optimal two-and three-stage production schedules with setup times included. Naval Res. Logistics Q. 1, 61-68 (1954).
    • (1954) Naval Res. Logistics Q. , vol.1 , pp. 61-68
    • Johnson, S.M.1
  • 2
    • 38249025037 scopus 로고
    • Simulated annealing for permutation flow-shop scheduling
    • I. H. Osman and C. N. Potts. Simulated annealing for permutation flow-shop scheduling. OMEGA 17, 551-557 (1989).
    • (1989) OMEGA , vol.17 , pp. 551-557
    • Osman, I.H.1    Potts, C.N.2
  • 3
    • 0024700013 scopus 로고
    • A new heuristic method for the flowshop sequencing problem
    • M. Widmer and A. Hertz. A new heuristic method for the flowshop sequencing problem. Europ. J. Opnl Res. 41, 186-193 (1990).
    • (1990) Europ. J. Opnl Res. , vol.41 , pp. 186-193
    • Widmer, M.1    Hertz, A.2
  • 4
    • 0025700701 scopus 로고
    • Some efficient heuristic methods for the flowshop sequencing problem
    • E. Taillard. Some efficient heuristic methods for the flowshop sequencing problem. Europ. J. Opnl Res. 47, 65-74 (1990).
    • (1990) Europ. J. Opnl Res. , vol.47 , pp. 65-74
    • Taillard, E.1
  • 8
    • 0002548256 scopus 로고
    • The effects of population size, heuristic crossover and local improvement on a genetic algorithm for the traveling salesman problem
    • P. Jog, J. Y. Suh and D. V. Gucht. The effects of population size, heuristic crossover and local improvement on a genetic algorithm for the traveling salesman problem. Proc. of the Third ICGA, 110-115 (1989).
    • (1989) Proc. of the Third ICGA , pp. 110-115
    • Jog, P.1    Suh, J.Y.2    Gucht, D.V.3
  • 10
    • 85030634221 scopus 로고
    • Genetic local search algorithms for the traveling salesman problem
    • (Edited by H.-P. Schwefel and R. Manner), Springer, Berlin
    • N. L. J. Ulder, E. H. L. Aarts, H.-J. Bandelt, P. J. M. van Laarhoven and E. Pesch. Genetic local search algorithms for the traveling salesman problem. In Parallel Problem Solving from Nature (Edited by H.-P. Schwefel and R. Manner), pp. 109-116. Springer, Berlin (1991).
    • (1991) Parallel Problem Solving from Nature , pp. 109-116
    • Ulder, N.L.J.1    Aarts, E.H.L.2    Bandelt, H.-J.3    Van Laarhoven, P.J.M.4    Pesch, E.5
  • 11
    • 0001922101 scopus 로고
    • Genetic operations for sequencing problems
    • (Edited by G. J. E. Rawlins), Morgan Kaufmann Publishers, San Mateo
    • B. R. Fox and M. B. McMahon. Genetic operations for sequencing problems. In Foundations of Genetic Algorithms (Edited by G. J. E. Rawlins), pp. 284-300. Morgan Kaufmann Publishers, San Mateo (1991).
    • (1991) Foundations of Genetic Algorithms , pp. 284-300
    • Fox, B.R.1    McMahon, M.B.2
  • 13
    • 0028523480 scopus 로고
    • Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems
    • H. Ishibuchi, N. Yamamoto, T. Murata and H. Tanaka. Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems. Fuzzy Sets and Systems 67, 81-100 (1994).
    • (1994) Fuzzy Sets and Systems , vol.67 , pp. 81-100
    • Ishibuchi, H.1    Yamamoto, N.2    Murata, T.3    Tanaka, H.4
  • 14
    • 0345360882 scopus 로고
    • How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape
    • IEEE Press, New York
    • B. Manderick and P. Spiessens. How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape. Computational Intelligence Imitating Life, pp. 170-181. IEEE Press, New York (1994).
    • (1994) Computational Intelligence Imitating Life , pp. 170-181
    • Manderick, B.1    Spiessens, P.2
  • 15
    • 0002755938 scopus 로고
    • Scheduling optimization using genetic algorithms
    • (Edited by L. Davis), 332-349. Van Nostrand Reinhold, New York
    • G. Syswerda. Scheduling optimization using genetic algorithms. In Handbook of Genetic Algorithms (Edited by L. Davis), pp. 332-349. Van Nostrand Reinhold, New York (1991).
    • (1991) Handbook of Genetic Algorithms
    • Syswerda, G.1
  • 16
    • 0002499542 scopus 로고
    • The lessons of flowshop scheduling research
    • R. A. Dudek, S. S. Panwalkar and M. L. Smith. The lessons of flowshop scheduling research. Ops Res. 40, 7-13 (1992).
    • (1992) Ops Res. , vol.40 , pp. 7-13
    • Dudek, R.A.1    Panwalkar, S.S.2    Smith, M.L.3
  • 17
    • 0001868119 scopus 로고
    • Scheduling problems and traveling salesmen: The genetic edge recombination operator
    • D. Whitley, T. Starkweather and D. Fuquay. Scheduling problems and traveling salesmen: the genetic edge recombination operator. Proc. of the Third ICGA, 133-140 (1989).
    • (1989) Proc. of the Third ICGA , pp. 133-140
    • Whitley, D.1    Starkweather, T.2    Fuquay, D.3
  • 18
    • 0002470532 scopus 로고
    • A study of permutation crossover operators on the traveling salesman problem
    • I. Oliver, D. Smith and J. Holland. A study of permutation crossover operators on the traveling salesman problem. Proc. of the Second ICGA, 224-230 (1987).
    • (1987) Proc. of the Second ICGA , pp. 224-230
    • Oliver, I.1    Smith, D.2    Holland, J.3
  • 19
    • 0029632605 scopus 로고
    • Modified simulated annealing algorithms for the flow shop sequencing problem
    • H. Ishibuchi, S. Misaki and H. Tanaka. Modified simulated annealing algorithms for the flow shop sequencing problem. Europ. J. Opnl Res. 81, 388-398 (1995).
    • (1995) Europ. J. Opnl Res. , vol.81 , pp. 388-398
    • Ishibuchi, H.1    Misaki, S.2    Tanaka, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.