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Maximal flow in possibilistic networks

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  • Soleimani-damaneh, M.

Abstract

In this study the determination of maximal flow in possibilistic networks with multiple sinks is studied. To do so, a time-continuous optimization problem is provided and an effective approach to solve it is introduced.

Suggested Citation

  • Soleimani-damaneh, M., 2009. "Maximal flow in possibilistic networks," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 370-375.
    • Handle: RePEc:eee:chsofr:v:40:y:2009:i:1:p:370-375
    DOI: 10.1016/j.chaos.2007.07.071
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    References listed on IDEAS

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    1. Soleimani-damaneh, M., 2008. "Fuzzy upper bounds and their applications," Chaos, Solitons & Fractals, Elsevier, vol. 36(2), pages 217-225.
    2. El Naschie, M.S., 2005. "From experimental quantum optics to quantum gravity via a fuzzy Kähler manifold," Chaos, Solitons & Fractals, Elsevier, vol. 25(5), pages 969-977.
    3. Tanaka, Yosuke & Mizuno, Yuzi & Kado, Tatsuhiko, 2005. "Chaotic dynamics in the Friedmann equation," Chaos, Solitons & Fractals, Elsevier, vol. 24(2), pages 407-422.
    4. El Naschie, M.S., 2006. "On two new fuzzy Kähler manifolds, Klein modular space and ’t Hooft holographic principles," Chaos, Solitons & Fractals, Elsevier, vol. 29(4), pages 876-881.
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