IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v113y1999i1p169-182.html
   My bibliography  Save this article

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

Author

Listed:
  • Azadivar, Farhad
  • Tompkins, George

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(97)00430-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Taho & Chou, Pohung, 2005. "Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(1), pages 9-21.
    2. Kleijnen, J.P.C. & Biles, B.E., 1999. "A Java-based simulation manager for optimization and response surface methodology in multiple-response parallel simulation," Other publications TiSEM 628a280a-c055-4fa2-9d54-5, Tilburg University, School of Economics and Management.
    3. Hachicha, Wafik & Ammeri, Ahmed & Masmoudi, Faouzi & Chachoub, Habib, 2010. "A comprehensive literature classification of simulation optimisation methods," MPRA Paper 27652, University Library of Munich, Germany.
    4. Arsham H., 1998. "Techniques for Monte Carlo Optimizing," Monte Carlo Methods and Applications, De Gruyter, vol. 4(3), pages 181-230, December.
    5. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.
    6. Botes, J. H. F. & Bosch, D. J. & Oosthuizen, L. K., 1996. "A simulation and optimization approach for evaluating irrigation information," Agricultural Systems, Elsevier, vol. 51(2), pages 165-183, June.
    7. Qin, Rui & Liu, Yan-Kui, 2010. "Modeling data envelopment analysis by chance method in hybrid uncertain environments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 922-950.
    8. Kazmierczak, Richard F., Jr., 1990. "Analyzing Complex Dynamic Bioeconomic Systems Using A Simulation Optimization Technique," 1990 Annual meeting, August 5-8, Vancouver, Canada 270852, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. 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.
    10. Kazmierczak, Richard F., Jr., 1996. "Optimizing Complex Bioeconomic Simulations Using An Efficient Search Heuristic," DAE Research Reports 31661, Louisiana State University, Department of Agricultural Economics and Agribusiness.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:113:y:1999:i:1:p:169-182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.