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Volumn 205, Issue 2, 2008, Pages 550-561

Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems

Author keywords

Flowshop scheduling; Genetic algorithm; Makespan; Maximum tardiness; NSGA II

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; CHROMOSOMES; CONVERGENCE OF NUMERICAL METHODS; DIESEL ENGINES; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; MACHINERY; MULTIOBJECTIVE OPTIMIZATION; NUMERICAL ANALYSIS; SCHEDULING; SOLUTIONS;

EID: 54249084894     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2008.05.027     Document Type: Article
Times cited : (53)

References (41)
  • 2
    • 34047209478 scopus 로고    scopus 로고
    • MOTGA, A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem
    • Alves M.J., and Almeida M. MOTGA, A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem. Comput. Oper. Res. 34 11 (2007) 3458-3470
    • (2007) Comput. Oper. Res. , vol.34 , Issue.11 , pp. 3458-3470
    • Alves, M.J.1    Almeida, M.2
  • 5
    • 33847658312 scopus 로고    scopus 로고
    • Sub-population genetic algorithm with mining gene structures for flow shop scheduling problems
    • Chang P.C., Chen S.H., and Liu C.H. Sub-population genetic algorithm with mining gene structures for flow shop scheduling problems. Expert Syst. Appl. 33 3 (2007) 762-771
    • (2007) Expert Syst. Appl. , vol.33 , Issue.3 , pp. 762-771
    • Chang, P.C.1    Chen, S.H.2    Liu, C.H.3
  • 6
    • 24144460572 scopus 로고    scopus 로고
    • Two-phase sub population genetic algorithm for parallel machine-scheduling problem
    • Chang P.C., Chen S.H., and Lin K.L. Two-phase sub population genetic algorithm for parallel machine-scheduling problem. Expert Syst. Appl. 29 3 (2005) 705-712
    • (2005) Expert Syst. Appl. , vol.29 , Issue.3 , pp. 705-712
    • Chang, P.C.1    Chen, S.H.2    Lin, K.L.3
  • 7
    • 34548482951 scopus 로고    scopus 로고
    • Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems
    • Chang P.C., Chen S.H., and Fan C.Y. Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems. Appl. Soft. Comput. 8 1 (2008) 767-777
    • (2008) Appl. Soft. Comput. , vol.8 , Issue.1 , pp. 767-777
    • Chang, P.C.1    Chen, S.H.2    Fan, C.Y.3
  • 8
    • 26844542188 scopus 로고    scopus 로고
    • Chang P.C., Wang Y.W., and Liu C.H. New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm. LNCS 3611 (2005) 983-991
    • (2005) LNCS , vol.3611 , pp. 983-991
    • Chang, P.C.1    Wang, Y.W.2    Liu, C.H.3
  • 9
    • 33745846840 scopus 로고    scopus 로고
    • A case-injected genetic algorithm for single machine scheduling problems with release times
    • Chang P.C., Hsieh J.C., and Liu C.H. A case-injected genetic algorithm for single machine scheduling problems with release times. Int. J. Prod. Econ. 103 (2006) 551-564
    • (2006) Int. J. Prod. Econ. , vol.103 , pp. 551-564
    • Chang, P.C.1    Hsieh, J.C.2    Liu, C.H.3
  • 10
    • 0029207545 scopus 로고
    • An application of genetic algorithms for flow shop problems
    • Chen C.L., Vempati V.S., and Aljaber N. An application of genetic algorithms for flow shop problems. Eur. J. Oper. Res. 80 (1995) 389-396
    • (1995) Eur. J. Oper. Res. , vol.80 , pp. 389-396
    • Chen, C.L.1    Vempati, V.S.2    Aljaber, N.3
  • 11
    • 54249162746 scopus 로고    scopus 로고
    • Chi-Chia Chen, Mining Gene Structures with Inheritance Sub-Population Genetic Algorithm in Solving Combinatorial Problem, Department of Industrial Engineering and Management, Master thesis, University of Y.Z., Taiwan, 2006.
    • Chi-Chia Chen, Mining Gene Structures with Inheritance Sub-Population Genetic Algorithm in Solving Combinatorial Problem, Department of Industrial Engineering and Management, Master thesis, University of Y.Z., Taiwan, 2006.
  • 12
    • 3142756516 scopus 로고    scopus 로고
    • Handling multiple objectives with particle swarm optimization
    • Coello C.A.C., Pulido G.T., and Lechuga M.S. Handling multiple objectives with particle swarm optimization. IEEE Trans. Evol. Comput. 8 3 (2004) 256-279
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , Issue.3 , pp. 256-279
    • Coello, C.A.C.1    Pulido, G.T.2    Lechuga, M.S.3
  • 13
    • 54249084739 scopus 로고    scopus 로고
    • K. Deb, S.A. Amrit Pratap, T. Meyarivan, A fast and elitist multi objective genetic algorithm-NSGA-II, in: Proceedings of the Parallel Problem Solving from Nature VI Conference, 2000, pp. 849-858.
    • K. Deb, S.A. Amrit Pratap, T. Meyarivan, A fast and elitist multi objective genetic algorithm-NSGA-II, in: Proceedings of the Parallel Problem Solving from Nature VI Conference, 2000, pp. 849-858.
  • 14
    • 0016952078 scopus 로고
    • The complexity of flowshop and jobshop scheduling
    • Garey M.R., Johnson D.S., and Sethi R. The complexity of flowshop and jobshop scheduling. Math. Oper. Res. 1 (1976) 117-129
    • (1976) Math. Oper. Res. , vol.1 , pp. 117-129
    • Garey, M.R.1    Johnson, D.S.2    Sethi, R.3
  • 16
    • 21244498631 scopus 로고    scopus 로고
    • The hierarchical fair competition framework for sustainable evolutionary algorithms
    • Hu J.E., Goodman K., Fan Seo Z., and Rosenberg R. The hierarchical fair competition framework for sustainable evolutionary algorithms. Evol. Comput. 13 2 (2005) 241-277
    • (2005) Evol. Comput. , vol.13 , Issue.2 , pp. 241-277
    • Hu, J.E.1    Goodman, K.2    Fan Seo, Z.3    Rosenberg, R.4
  • 17
    • 0038273913 scopus 로고    scopus 로고
    • Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling
    • Ishibuchi H., Yoshida T., and Murata T. Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling. IEEE Trans. Evol. Comput. 7 2 (2003) 204-223
    • (2003) IEEE Trans. Evol. Comput. , vol.7 , Issue.2 , pp. 204-223
    • Ishibuchi, H.1    Yoshida, T.2    Murata, T.3
  • 18
    • 0037116765 scopus 로고    scopus 로고
    • Genetic local search for multi-objective combinatorial optimization
    • Jaszkiewicz A. Genetic local search for multi-objective combinatorial optimization. Eur. J. Oper. Res. 137 1 (2002) 50-71
    • (2002) Eur. J. Oper. Res. , vol.137 , Issue.1 , pp. 50-71
    • Jaszkiewicz, A.1
  • 19
    • 0037116761 scopus 로고    scopus 로고
    • Multi-objective meta-heuristics: an overview of the current state-of-the-art
    • Jones D.F., Mirrazavi S.K., and Tamiz M. Multi-objective meta-heuristics: an overview of the current state-of-the-art. Eur. J. Oper. Res. 137 1 (2002) 1-9
    • (2002) Eur. J. Oper. Res. , vol.137 , Issue.1 , pp. 1-9
    • Jones, D.F.1    Mirrazavi, S.K.2    Tamiz, M.3
  • 22
    • 0030646627 scopus 로고    scopus 로고
    • J. Lis, A.E. Eiben, A multisexual genetic algorithm for multicriteria optimization, in: Proceedings of the 4th IEEE Conference on Evolutionary Computation, 1997, pp. 59-64.
    • J. Lis, A.E. Eiben, A multisexual genetic algorithm for multicriteria optimization, in: Proceedings of the 4th IEEE Conference on Evolutionary Computation, 1997, pp. 59-64.
  • 24
    • 0030241443 scopus 로고    scopus 로고
    • Genetic algorithms for flowshop scheduling problems
    • Murata T., Ishibuchi H., and Tanaka H. Genetic algorithms for flowshop scheduling problems. Comput. Ind. Eng. 30 (1996) 1061-1071
    • (1996) Comput. Ind. Eng. , vol.30 , pp. 1061-1071
    • Murata, T.1    Ishibuchi, H.2    Tanaka, H.3
  • 25
    • 24344508254 scopus 로고    scopus 로고
    • Y. Nojima, K. Narukawa, S. Kaige, H. Ishibuchi, Effects of removing overlapping solutions on the performance of the NSGA-II algorithm, in: Proceedings of the 3rd International Conference on Evolutionary Multi-Criterion Optimization, 2005, pp. 341-354.
    • Y. Nojima, K. Narukawa, S. Kaige, H. Ishibuchi, Effects of removing overlapping solutions on the performance of the NSGA-II algorithm, in: Proceedings of the 3rd International Conference on Evolutionary Multi-Criterion Optimization, 2005, pp. 341-354.
  • 26
    • 33750592465 scopus 로고    scopus 로고
    • A step forward in studying the compact genetic algorithm
    • Rastegar R., and Hariri A. A step forward in studying the compact genetic algorithm. Evol. Comput. 14 3 (2006) 277-289
    • (2006) Evol. Comput. , vol.14 , Issue.3 , pp. 277-289
    • Rastegar, R.1    Hariri, A.2
  • 27
    • 0032009313 scopus 로고    scopus 로고
    • Genetic algorithms, path relinking, and the flowshop sequencing problem
    • Reeves C.R., and Yamada T. Genetic algorithms, path relinking, and the flowshop sequencing problem. Evol. Comput. 6 (1998) 45-60
    • (1998) Evol. Comput. , vol.6 , pp. 45-60
    • Reeves, C.R.1    Yamada, T.2
  • 28
    • 0029224965 scopus 로고
    • A genetic algorithm for flowshop sequencing
    • Reeves C.R. A genetic algorithm for flowshop sequencing. Comput. Oper. Res. 22 (1995) 5-13
    • (1995) Comput. Oper. Res. , vol.22 , pp. 5-13
    • Reeves, C.R.1
  • 29
    • 0037278745 scopus 로고    scopus 로고
    • An effective hybrid heuristic for flow shop scheduling
    • Wang L., and Zheng D.Z. An effective hybrid heuristic for flow shop scheduling. Int. J. Adv. Manuf. Technol. 21 (2003) 38-44
    • (2003) Int. J. Adv. Manuf. Technol. , vol.21 , pp. 38-44
    • Wang, L.1    Zheng, D.Z.2
  • 30
    • 17644405107 scopus 로고    scopus 로고
    • An evolutionary algorithm with guided mutation for the maximum clique problem
    • Zhang Q., Sun J., and Tsang E. An evolutionary algorithm with guided mutation for the maximum clique problem. IEEE Trans. Evol. Comput. 9 2 (2005) 192-200
    • (2005) IEEE Trans. Evol. Comput. , vol.9 , Issue.2 , pp. 192-200
    • Zhang, Q.1    Sun, J.2    Tsang, E.3
  • 31
    • 32044464100 scopus 로고    scopus 로고
    • An effective hybrid genetic algorithm for flow shop scheduling with limited buffers
    • Wang L., Zhang L., and Zheng D.Z. An effective hybrid genetic algorithm for flow shop scheduling with limited buffers. Comput. Oper. Res. 33 (2006) 2960-2971
    • (2006) Comput. Oper. Res. , vol.33 , pp. 2960-2971
    • Wang, L.1    Zhang, L.2    Zheng, D.Z.3
  • 32
    • 54249132374 scopus 로고    scopus 로고
    • E. Zitzler, M. Laumanns, S. Bleuler, A tutorial on evolutionary multi objective optimization, in: Proceedings of The Workshop on Multiple Objective Metaheuristics, 2004.
    • E. Zitzler, M. Laumanns, S. Bleuler, A tutorial on evolutionary multi objective optimization, in: Proceedings of The Workshop on Multiple Objective Metaheuristics, 2004.
  • 33
    • 0036180213 scopus 로고    scopus 로고
    • A survey of optimization by building and using probabilistic models
    • Pelikan M., Goldberg D.E., and Lobo F.G. A survey of optimization by building and using probabilistic models. Comput. Optim. Appl. 21 1 (2002) 5-20
    • (2002) Comput. Optim. Appl. , vol.21 , Issue.1 , pp. 5-20
    • Pelikan, M.1    Goldberg, D.E.2    Lobo, F.G.3
  • 34
    • 35548991809 scopus 로고    scopus 로고
    • An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering
    • Aickelin U., Burke E.K., and Li J. An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering. J. Oper. Res. Soc. 58 12 (2007) 1574-1585
    • (2007) J. Oper. Res. Soc. , vol.58 , Issue.12 , pp. 1574-1585
    • Aickelin, U.1    Burke, E.K.2    Li, J.3
  • 35
    • 34147118074 scopus 로고    scopus 로고
    • Effective mutation rate for probabilistic evolutionary design of analogue electrical circuits
    • Mühlenbein H., Zinchenko L., Kureichik V., and Mahnig T. Effective mutation rate for probabilistic evolutionary design of analogue electrical circuits. Appl. Soft. Comput. 7 3 (2007) 1012-1018
    • (2007) Appl. Soft. Comput. , vol.7 , Issue.3 , pp. 1012-1018
    • Mühlenbein, H.1    Zinchenko, L.2    Kureichik, V.3    Mahnig, T.4
  • 36
    • 36049007748 scopus 로고    scopus 로고
    • An evolutionary artificial immune system for multi-objective optimization
    • Tan K.C., Goh C.K., Mamun A.A., and Ei E.Z. An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. 187 2 (2008) 371-392
    • (2008) Eur. J. Oper. Res. , vol.187 , Issue.2 , pp. 371-392
    • Tan, K.C.1    Goh, C.K.2    Mamun, A.A.3    Ei, E.Z.4
  • 37
    • 32444448626 scopus 로고    scopus 로고
    • C.F. Lima, D.E. Goldberg, K. Sastry, F.G. Lobo, Combining competent crossover and mutation operators: a probabilistic model building approach, in: Proceedings of the 2005 conference on Genetic and evolutionary computation, Washington DC, USA, 2005, pp. 735-742.
    • C.F. Lima, D.E. Goldberg, K. Sastry, F.G. Lobo, Combining competent crossover and mutation operators: a probabilistic model building approach, in: Proceedings of the 2005 conference on Genetic and evolutionary computation, Washington DC, USA, 2005, pp. 735-742.
  • 38
    • 84944329532 scopus 로고    scopus 로고
    • P.A.N. Bosman, D. Thierens, Permutation optimization by iterated estimation of random keys marginal product factorizations, Parallel Problem Solving from Nature - PPSN VII 331-340, 2002.
    • P.A.N. Bosman, D. Thierens, Permutation optimization by iterated estimation of random keys marginal product factorizations, Parallel Problem Solving from Nature - PPSN VII 331-340, 2002.
  • 39
    • 34247201141 scopus 로고    scopus 로고
    • Edge histogram based sampling with local search for solving permutation problems
    • Tsutsui S., Pelikan M., and Ghosh A. Edge histogram based sampling with local search for solving permutation problems. Int. J. Hyb. Inform. Sys. 3 1 (2006) 11-22
    • (2006) Int. J. Hyb. Inform. Sys. , vol.3 , Issue.1 , pp. 11-22
    • Tsutsui, S.1    Pelikan, M.2    Ghosh, A.3
  • 40
    • 34547430444 scopus 로고    scopus 로고
    • Combinations of estimation of distribution algorithms and other techniques
    • Zhang Q., Sun J., and Tsang E. Combinations of estimation of distribution algorithms and other techniques. Int. J. Aut. Comput 4 3 (2007) 273-280
    • (2007) Int. J. Aut. Comput , vol.4 , Issue.3 , pp. 273-280
    • Zhang, Q.1    Sun, J.2    Tsang, E.3
  • 41
    • 32044464100 scopus 로고    scopus 로고
    • An effective hybrid genetic algorithm for flow shop scheduling with limited buffers
    • Wang L., Zhang L., and Zheng D.Z. An effective hybrid genetic algorithm for flow shop scheduling with limited buffers. Comput. Oper. Res. 33 (2006) 2960-2971
    • (2006) Comput. Oper. Res. , vol.33 , pp. 2960-2971
    • Wang, L.1    Zhang, L.2    Zheng, D.Z.3


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