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A particle swarm optimization-based hybrid algorithm for minimum concave cost network flow problems

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  • Shangyao Yan
  • Yu-Lin Shih
  • Wang-Tsang Lee

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  • Shangyao Yan & Yu-Lin Shih & Wang-Tsang Lee, 2011. "A particle swarm optimization-based hybrid algorithm for minimum concave cost network flow problems," Journal of Global Optimization, Springer, vol. 49(4), pages 539-559, April.
    • Handle: RePEc:spr:jglopt:v:49:y:2011:i:4:p:539-559
    DOI: 10.1007/s10898-010-9548-2
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    References listed on IDEAS

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    1. Yan, Shangyao & Luo, So-Chang, 1999. "Probabilistic local search algorithms for concave cost transportation network problems," European Journal of Operational Research, Elsevier, vol. 117(3), pages 511-521, September.
    2. Yan, Shangyao & Yang, Dah-Hwei, 1996. "A decision support framework for handling schedule perturbation," Transportation Research Part B: Methodological, Elsevier, vol. 30(6), pages 405-419, December.
    3. Gallo, Giorgio & Sandi, Claudio & Sodini, Claudio, 1980. "An algorithm for the min concave cost flow problem," European Journal of Operational Research, Elsevier, vol. 4(4), pages 248-255, April.
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    Cited by:

    1. Shuvomoy Das Gupta & Lacra Pavel, 2019. "On seeking efficient Pareto optimal points in multi-player minimum cost flow problems with application to transportation systems," Journal of Global Optimization, Springer, vol. 74(3), pages 523-548, July.

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