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Stochastic programming

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  • Kall, P.

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  • Kall, P., 1982. "Stochastic programming," European Journal of Operational Research, Elsevier, vol. 10(2), pages 125-130, June.
    • Handle: RePEc:eee:ejores:v:10:y:1982:i:2:p:125-130
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    Cited by:

    1. R. Caballero & E. Cerda & M. Muñoz & L. Rey, 2002. "Analysis and comparisons of some solution concepts for stochastic programming problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(1), pages 101-123, June.
    2. Wang, Yanxia & Gan, Shaojun & Li, Kang & Chen, Yanyan, 2022. "Planning for low-carbon energy-transportation system at metropolitan scale: A case study of Beijing, China," Energy, Elsevier, vol. 246(C).
    3. Jiang, C. & Zhang, Z.G. & Zhang, Q.F. & Han, X. & Xie, H.C. & Liu, J., 2014. "A new nonlinear interval programming method for uncertain problems with dependent interval variables," European Journal of Operational Research, Elsevier, vol. 238(1), pages 245-253.
    4. Mandal, Uday & Dhar, Anirban & Panda, Sudhindra N., 2021. "Enhancement of sustainable agricultural production system by integrated natural resources management framework under climatic and operational uncertainty," Agricultural Water Management, Elsevier, vol. 252(C).
    5. Sengupta, Atanu & Pal, Tapan Kumar, 2000. "On comparing interval numbers," European Journal of Operational Research, Elsevier, vol. 127(1), pages 28-43, November.
    6. R. Slowinski & J. Teghem, 1988. "Fuzzy versus stochastic approaches to multicriteria linear programming under uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(6), pages 673-695, December.
    7. Jiang, C. & Han, X. & Liu, G.R. & Liu, G.P., 2008. "A nonlinear interval number programming method for uncertain optimization problems," European Journal of Operational Research, Elsevier, vol. 188(1), pages 1-13, July.

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