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Volumn 2005, Issue , 2005, Pages 833-841

Multiobjective simulation optimization using an enhanced genetic algorithm

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; OPTIMIZATION; PARETO PRINCIPLE; RANDOM PROCESSES;

EID: 33846680443     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2005.1574329     Document Type: Conference Paper
Times cited : (19)

References (23)
  • 1
    • 1642560618 scopus 로고    scopus 로고
    • Practical introduction to simulation optimization
    • ed. S. Chick, T. Sanchez, D. Ferrin and D.Morrice, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers
    • April, J., F. Glover, J. Kelly, and M. Laguna. 2003. Practical introduction to simulation optimization. In Proceedings of the 2003 Winter Simulation Conference. ed. S. Chick, T. Sanchez, D. Ferrin and D.Morrice, 71-78. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
    • (2003) Proceedings of the 2003 Winter Simulation Conference , pp. 71-78
    • April, J.1    Glover, F.2    Kelly, J.3    Laguna, M.4
  • 2
    • 17744373501 scopus 로고    scopus 로고
    • A metaheuristic based on simulated annealing for solving multi-objective problems in simulation optimization
    • Avello, E.A., F. Baesler, R. J. Moraga. 2004. A metaheuristic based on simulated annealing for solving multi-objective problems in simulation optimization. In Proceedings of the 2004 Winter Simulation Conference, 508-513.
    • (2004) Proceedings of the 2004 Winter Simulation Conference , pp. 508-513
    • Avello, E.A.1    Baesler, F.2    Moraga, R.J.3
  • 3
    • 0034430158 scopus 로고    scopus 로고
    • Mutli-Response Simulation Optimization using Stochastic Genetic Search within a Goal Programming Framework
    • Ed. J.A. Joines, R.R. Barton, K. Kang, and P.A. Fishwick
    • Baesler, F.F. and J.A. Sepúlveda. 2000. Mutli-Response Simulation Optimization using Stochastic Genetic Search within a Goal Programming Framework. In Proceedings of the 2000 Winter Simulation Conference. Ed. J.A. Joines, R.R. Barton, K. Kang, and P.A. Fishwick, 788-794.
    • (2000) Proceedings of the 2000 Winter Simulation Conference , pp. 788-794
    • Baesler, F.F.1    Sepúlveda, J.A.2
  • 4
    • 0018439646 scopus 로고
    • Simple approximation of the error function Q(x) for communications applications
    • Borjesson, P.O. and C.E.W. Sundberg. 1979. Simple approximation of the error function Q(x) for communications applications. IEEE Transactions on Communications 27(3) 639-643.
    • (1979) IEEE Transactions on Communications , vol.27 , Issue.3 , pp. 639-643
    • Borjesson, P.O.1    Sundberg, C.E.W.2
  • 5
    • 0030164936 scopus 로고    scopus 로고
    • An interactive multipleresponse simulation optimization method
    • Boyle, C.R., W.S. Shin, (1996). An interactive multipleresponse simulation optimization method. IIE Transactions 28: 319-331.
    • (1996) IIE Transactions , vol.28 , pp. 319-331
    • Boyle, C.R.1    Shin, W.S.2
  • 12
    • 0002819121 scopus 로고
    • A comparison of selection schemes used in genetic algorithms
    • Goldberg, D. E. and Deb, K. 1991. A comparison of selection schemes used in genetic algorithms. Foundations of Genetic Algorithms 69-93.
    • (1991) Foundations of Genetic Algorithms , pp. 69-93
    • Goldberg, D.E.1    Deb, K.2
  • 13
    • 0000510934 scopus 로고
    • Genetic Algorithms, Noise, and the Sizing of Populations
    • Goldberg, D.E., K. Deb, and J.H. Clark. 1992. Genetic Algorithms, Noise, and the Sizing of Populations. Complex Systems 6: 333-362.
    • (1992) Complex Systems , vol.6 , pp. 333-362
    • Goldberg, D.E.1    Deb, K.2    Clark, J.H.3
  • 14
    • 0032136585 scopus 로고    scopus 로고
    • Tackling Real-Coded Genetic Algorithms: Operators and Tolls for Behaivourial Analysis
    • Herrera, F., M. Lozano, and J.L. Verdegay. 1998. Tackling Real-Coded Genetic Algorithms: Operators and Tolls for Behaivourial Analysis. Artificial Intelligence Review 12: 265-319,
    • (1998) Artificial Intelligence Review , vol.12 , pp. 265-319
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 15
    • 0007943381 scopus 로고    scopus 로고
    • IlliGAL Report No. 97001. University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL
    • Miller, B.L. 1997. Noise, Sampling, and Efficient Genetic Algorithms. IlliGAL Report No. 97001. University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL.
    • (1997) Noise, Sampling, and Efficient Genetic Algorithms
    • Miller, B.L.1
  • 17
    • 0028515515 scopus 로고
    • Multicriteria Design of Manufacturing Systems through Simulation Optimization
    • Mollaghasemi, M. and G. Evans. 1994. Multicriteria Design of Manufacturing Systems through Simulation Optimization. IEEE Transactions on System, Man, and Cybernetics 24(9) 1407-1411.
    • (1994) IEEE Transactions on System, Man, and Cybernetics , vol.24 , Issue.9 , pp. 1407-1411
    • Mollaghasemi, M.1    Evans, G.2
  • 19
    • 0002096988 scopus 로고
    • Reducing the size of nondominated set: Pruning by clustering
    • Morse, J.N. 1980. Reducing the size of nondominated set: pruning by clustering. Computer and Operations Research 7(1-2) 55-66.
    • (1980) Computer and Operations Research , vol.7 , Issue.1-2 , pp. 55-66
    • Morse, J.N.1
  • 21
    • 0041304628 scopus 로고    scopus 로고
    • Genetic Algorithm Development for Multi-objective Optimization of Batch Free-Radical Polymerization Reactors
    • Suva C.M., and B.C. Biscaia. 2003. Genetic Algorithm Development for Multi-objective Optimization of Batch Free-Radical Polymerization Reactors. Computers and Chemical Engineering 27: 1329-1344.
    • (2003) Computers and Chemical Engineering , vol.27 , pp. 1329-1344
    • Suva, C.M.1    Biscaia, B.C.2
  • 22
    • 0000852513 scopus 로고
    • Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
    • Srinivas N. and K. Deb 1994. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. International Journal of Evolutionary Computation 2(3): 221-248.
    • (1994) International Journal of Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 23
    • 0028766173 scopus 로고
    • A Methodology for Solving Multi-Objective Simulation-Optimization Problems
    • Teleb, R. and F. Azadivar. 1994. A Methodology for Solving Multi-Objective Simulation-Optimization Problems. European Journal of Operational Research 72: 135-145.
    • (1994) European Journal of Operational Research , vol.72 , pp. 135-145
    • Teleb, R.1    Azadivar, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.