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Determining optimum Genetic Algorithm parameters for scheduling the manufacturing and assembly of complex products

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  • Pongcharoen, P.
  • Hicks, C.
  • Braiden, P. M.
  • Stewardson, D. J.

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  • Pongcharoen, P. & Hicks, C. & Braiden, P. M. & Stewardson, D. J., 2002. "Determining optimum Genetic Algorithm parameters for scheduling the manufacturing and assembly of complex products," International Journal of Production Economics, Elsevier, vol. 78(3), pages 311-322, August.
    • Handle: RePEc:eee:proeco:v:78:y:2002:i:3:p:311-322
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    References listed on IDEAS

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    1. Joseph Adams & Egon Balas & Daniel Zawack, 1988. "The Shifting Bottleneck Procedure for Job Shop Scheduling," Management Science, INFORMS, vol. 34(3), pages 391-401, March.
    2. Harold H. Greenberg, 1968. "A Branch-Bound Solution to the General Scheduling Problem," Operations Research, INFORMS, vol. 16(2), pages 353-361, April.
    3. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    4. Eugeniusz Nowicki & Czeslaw Smutnicki, 1996. "A Fast Taboo Search Algorithm for the Job Shop Problem," Management Science, INFORMS, vol. 42(6), pages 797-813, June.
    5. Kolonko, M., 1999. "Some new results on simulated annealing applied to the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 113(1), pages 123-136, February.
    6. Nagar, Amit & Haddock, Jorge & Heragu, Sunderesh, 1995. "Multiple and bicriteria scheduling: A literature survey," European Journal of Operational Research, Elsevier, vol. 81(1), pages 88-104, February.
    7. Alan S. Manne, 1960. "On the Job-Shop Scheduling Problem," Operations Research, INFORMS, vol. 8(2), pages 219-223, April.
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    Cited by:

    1. Jiyoung Jung & Kundo Park & Byungjin Cho & Jinkyoo Park & Seunghwa Ryu, 2023. "Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks," Journal of Intelligent Manufacturing, Springer, vol. 34(8), pages 3623-3636, December.
    2. Hicks, Christian, 2006. "A Genetic Algorithm tool for optimising cellular or functional layouts in the capital goods industry," International Journal of Production Economics, Elsevier, vol. 104(2), pages 598-614, December.
    3. Song, Dong-Ping, 2006. "Raw material release time control for complex make-to-order products with stochastic processing times," International Journal of Production Economics, Elsevier, vol. 103(1), pages 371-385, September.
    4. Li, Jing Rong & Khoo, Li Pheng & Tor, Shu Beng, 2006. "Generation of possible multiple components disassembly sequence for maintenance using a disassembly constraint graph," International Journal of Production Economics, Elsevier, vol. 102(1), pages 51-65, July.
    5. Pathumnakul, Supachai & Egbelu, Pius J., 2006. "An algorithm for minimizing weighted earliness penalty in assembly job shops," International Journal of Production Economics, Elsevier, vol. 103(1), pages 230-245, September.
    6. Yang, Taho & Kuo, Yiyo & Cho, Chiwoon, 2007. "A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1859-1873, February.
    7. Chen, Yan-Kwang, 2004. "Economic design of control charts for non-normal data using variable sampling policy," International Journal of Production Economics, Elsevier, vol. 92(1), pages 61-74, November.
    8. Alexandre Checoli Choueiri & Eduardo Alves Portela Santos, 2021. "Multi-product scheduling through process mining: bridging optimization and machine process intelligence," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1649-1667, August.
    9. Ullrich, Christian A., 2013. "Integrated machine scheduling and vehicle routing with time windows," European Journal of Operational Research, Elsevier, vol. 227(1), pages 152-165.
    10. Haral, Uday & Chen, Rew-Win & Ferrell, William Jr & Kurz, Mary Beth, 2007. "Multiobjective single machine scheduling with nontraditional requirements," International Journal of Production Economics, Elsevier, vol. 106(2), pages 574-584, April.
    11. Vitayasak, Srisatja & Pongcharoen, Pupong & Hicks, Chris, 2017. "A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm," International Journal of Production Economics, Elsevier, vol. 190(C), pages 146-157.
    12. Pongcharoen, P. & Promtet, W. & Yenradee, P. & Hicks, C., 2008. "Stochastic Optimisation Timetabling Tool for university course scheduling," International Journal of Production Economics, Elsevier, vol. 112(2), pages 903-918, April.
    13. Oscar Revelo Sánchez & César A. Collazos & Miguel A. Redondo, 2021. "Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model," Mathematics, MDPI, vol. 9(13), pages 1-23, July.
    14. Framinan, Jose M. & Perez-Gonzalez, Paz & Fernandez-Viagas, Victor, 2019. "Deterministic assembly scheduling problems: A review and classification of concurrent-type scheduling models and solution procedures," European Journal of Operational Research, Elsevier, vol. 273(2), pages 401-417.
    15. McGovern, T. & Hicks, C., 2004. "Deregulation and restructuring of the global electricity supply industry and its impact upon power plant suppliers," International Journal of Production Economics, Elsevier, vol. 89(3), pages 321-337, June.

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