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Open Problems on Benders Decomposition Algorithm

In: Open Problems in Optimization and Data Analysis

Author

Listed:
  • Georgios K. D. Saharidis

    (University of Thessaly)

  • Antonios Fragkogios

    (University of Thessaly)

Abstract

The Benders decomposition method is based on the idea of exploiting the structure of an optimization problem so that its solution can be obtained as the solution of several smaller subproblems. We review here the fundamental method proposed by Jacobus F. Benders and present several open problems related to its application.

Suggested Citation

  • Georgios K. D. Saharidis & Antonios Fragkogios, 2018. "Open Problems on Benders Decomposition Algorithm," Springer Optimization and Its Applications, in: Panos M. Pardalos & Athanasios Migdalas (ed.), Open Problems in Optimization and Data Analysis, pages 305-317, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-99142-9_16
    DOI: 10.1007/978-3-319-99142-9_16
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    Cited by:

    1. Iris, F. & Nawi, N. M. & Man, N. & Ramli, N. N. & Uddin, M. T, 2022. "Trust and Communication Influence on Farm Performance for Paddy Farmers: A Study in Bangladesh," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 12(02), January.
    2. Stenfors, Alexis & Susai, Masayuki, 2021. "Spoofing and pinging in foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).

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