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An application of genetic algorithms for flow shop problems

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  • Chen, Chuen-Lung
  • Vempati, Venkateswara S.
  • Aljaber, Nasser
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    File URL: http://www.sciencedirect.com/science/article/B6VCT-4031TH0-14/2/ca56fa466dab5e3bec3c37bdbc4c335e
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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 80 (1995)
    Issue (Month): 2 (January)
    Pages: 389-396

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    Handle: RePEc:eee:ejores:v:80:y:1995:i:2:p:389-396

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    References

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    1. Nawaz, Muhammad & Enscore Jr, E Emory & Ham, Inyong, 1983. "A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem," Omega, Elsevier, vol. 11(1), pages 91-95.
    2. Taillard, E., 1990. "Some efficient heuristic methods for the flow shop sequencing problem," European Journal of Operational Research, Elsevier, vol. 47(1), pages 65-74, July.
    3. Ho, Johnny C. & Chang, Yih-Long, 1991. "A new heuristic for the n-job, M-machine flow-shop problem," European Journal of Operational Research, Elsevier, vol. 52(2), pages 194-202, May.
    4. Widmer, Marino & Hertz, Alain, 1989. "A new heuristic method for the flow shop sequencing problem," European Journal of Operational Research, Elsevier, vol. 41(2), pages 186-193, July.
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    Cited by:
    1. Ruiz, Ruben & Maroto, Concepcion, 2005. "A comprehensive review and evaluation of permutation flowshop heuristics," European Journal of Operational Research, Elsevier, vol. 165(2), pages 479-494, September.
    2. Khouja, Moutaz & Michalewicz, Zgibniew & Wilmot, Michael, 1998. "The use of genetic algorithms to solve the economic lot size scheduling problem," European Journal of Operational Research, Elsevier, vol. 110(3), pages 509-524, November.
    3. Ruiz, Ruben & Stutzle, Thomas, 2007. "A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2033-2049, March.
    4. Koksalan, Murat & Burak Keha, Ahmet, 2003. "Using genetic algorithms for single-machine bicriteria scheduling problems," European Journal of Operational Research, Elsevier, vol. 145(3), pages 543-556, March.
    5. Neppalli, Venkata Ranga & Chen, Chuen-Lung & Gupta, Jatinder N. D., 1996. "Genetic algorithms for the two-stage bicriteria flowshop problem," European Journal of Operational Research, Elsevier, vol. 95(2), pages 356-373, December.
    6. Ruiz, Rubén & Maroto, Concepciøn & Alcaraz, Javier, 2006. "Two new robust genetic algorithms for the flowshop scheduling problem," Omega, Elsevier, vol. 34(5), pages 461-476, October.
    7. Ruiz, Ruben & Maroto, Concepcion & Alcaraz, Javier, 2005. "Solving the flowshop scheduling problem with sequence dependent setup times using advanced metaheuristics," European Journal of Operational Research, Elsevier, vol. 165(1), pages 34-54, August.
    8. Chang, Pei-Chann & Huang, Wei-Hsiu & Wu, Jheng-Long & Cheng, T.C.E., 2013. "A block mining and re-combination enhanced genetic algorithm for the permutation flowshop scheduling problem," International Journal of Production Economics, Elsevier, vol. 141(1), pages 45-55.
    9. Gruca, Thomas S. & Klemz, Bruce R., 2003. "Optimal new product positioning: A genetic algorithm approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 621-633, May.
    10. Rad, Shahriar Farahmand & Ruiz, Rubén & Boroojerdian, Naser, 2009. "New high performing heuristics for minimizing makespan in permutation flowshops," Omega, Elsevier, vol. 37(2), pages 331-345, April.
    11. Alberto, I. & Azcarate, C. & Mallor, F. & Mateo, P. M., 2002. "Optimization with simulation and multiobjective analysis in industrial decision-making: A case study," European Journal of Operational Research, Elsevier, vol. 140(2), pages 373-383, July.
    12. Vallada, Eva & Ruiz, Rubén, 2010. "Genetic algorithms with path relinking for the minimum tardiness permutation flowshop problem," Omega, Elsevier, vol. 38(1-2), pages 57-67, February.
    13. Martin, Clarence H, 2009. "A hybrid genetic algorithm/mathematical programming approach to the multi-family flowshop scheduling problem with lot streaming," Omega, Elsevier, vol. 37(1), pages 126-137, February.

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