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Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach

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  • Azadivar, Farhad
  • Tompkins, George

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  • Azadivar, Farhad & Tompkins, George, 1999. "Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach," European Journal of Operational Research, Elsevier, vol. 113(1), pages 169-182, February.
    • Handle: RePEc:eee:ejores:v:113:y:1999:i:1:p:169-182
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    1. Azadivar, F. & Talavage, J., 1980. "Optimization of stochastic simulation models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 22(3), pages 231-241.
    2. Azadivar, Farhad & Lee, Young-Hae, 1988. "Optimization of discrete variable stochastic systems by computer simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 30(4), pages 331-345.
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    Cited by:

    1. Julian Yeomans, 2011. "Efficient generation of alternative perspectives in public environmental policy formulation: applying co-evolutionary simulation–optimization to municipal solid waste management," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 391-413, December.
    2. Rasool Motahari & Yasser Saeidi Sough & Hamed Aboutorab & Morteza Saberi, 2021. "Joint optimization of maintenance and inventory policies for multi-unit systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 587-607, June.
    3. Nihan Kabadayı & Timur Keskintürk, 2015. "Comparison Of Periodic-Review Inventory Control Policies In A Serial Supply Chain," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 27-34, December.
    4. M Laguna & J Molina & F Pérez & R Caballero & A G Hernández-Díaz, 2010. "The challenge of optimizing expensive black boxes: a scatter search/rough set theory approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 53-67, January.
    5. Cansu Kandemir & Holly A. H. Handley, 2019. "Work process improvement through simulation optimization of task assignment and mental workload," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 389-427, December.
    6. Mohamed Marzouk & Osama Moselhi, 2002. "Simulation optimization for earthmoving operations using genetic algorithms," Construction Management and Economics, Taylor & Francis Journals, vol. 20(6), pages 535-543.
    7. 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.
    8. Volkner, Peer & Werners, Brigitte, 2000. "A decision support system for business process planning," European Journal of Operational Research, Elsevier, vol. 125(3), pages 633-647, September.
    9. Yeomans, Julian Scott, 2007. "Solid waste planning under uncertainty using evolutionary simulation-optimization," Socio-Economic Planning Sciences, Elsevier, vol. 41(1), pages 38-60, March.
    10. Jonathan D Linton & Julian Scott Yeomans & Reena Yoogalingam, 2002. "Policy Planning Using Genetic Algorithms Combined with Simulation: The Case of Municipal Solid Waste," Environment and Planning B, , vol. 29(5), pages 757-778, October.

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