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Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions

Author

Listed:
  • Rashed Khanjani Shiraz

    (University of Tabriz)

  • Madjid Tavana

    (La Salle University
    University of Paderborn)

  • Debora Di Caprio

    (York University
    Polo Tecnologico IISS G. Galilei)

  • Hirofumi Fukuyama

    (Fukuoka University)

Abstract

The authors were alerted by a communication of Ken Kortanek that the numerical results of the paper contained mistakes. After carefully checking the MatLab code used for the simulations, we have found a mistype in one of the equations implemented that has affected almost all the simulations. This note provides the corrected numerical results.

Suggested Citation

  • Rashed Khanjani Shiraz & Madjid Tavana & Debora Di Caprio & Hirofumi Fukuyama, 2016. "Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions," Journal of Optimization Theory and Applications, Springer, vol. 170(3), pages 1075-1078, September.
    • Handle: RePEc:spr:joptap:v:170:y:2016:i:3:d:10.1007_s10957-016-0985-z
    DOI: 10.1007/s10957-016-0985-z
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    References listed on IDEAS

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    Cited by:

    1. Belleh Fontem, 2023. "Robust Chance-Constrained Geometric Programming with Application to Demand Risk Mitigation," Journal of Optimization Theory and Applications, Springer, vol. 197(2), pages 765-797, May.
    2. Huang, Xiaoxia & Ma, Di & Choe, Kwang-Il, 2023. "Uncertain mean–variance portfolio model with inflation taking linear uncertainty distributions," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 203-217.
    3. Tingting Yang & Xiaoxia Huang, 2022. "A New Portfolio Optimization Model Under Tracking-Error Constraint with Linear Uncertainty Distributions," Journal of Optimization Theory and Applications, Springer, vol. 195(2), pages 723-747, November.
    4. Wasim Akram Mandal, 2021. "Weighted Tchebycheff Optimization Technique Under Uncertainty," Annals of Data Science, Springer, vol. 8(4), pages 709-731, December.
    5. Rashed Khanjani-Shiraz & Salman Khodayifar & Panos M. Pardalos, 2021. "Copula theory approach to stochastic geometric programming," Journal of Global Optimization, Springer, vol. 81(2), pages 435-468, October.
    6. Wasim Akram Mandal & Sahidul Islam, 2017. "Multiobjective geometric programming problem under uncertainty," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(4), pages 85-109.
    7. Dennis L. Bricker & K. O. Kortanek, 2017. "Perfect Duality in Solving Geometric Programming Problems Under Uncertainty," Journal of Optimization Theory and Applications, Springer, vol. 173(3), pages 1055-1065, June.

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