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Open Problems on Benders Decomposition Algorithm

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Open Problems in Optimization and Data Analysis

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 141))

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.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Polytechnic School, University of Thessaly, Volos, Greece

    Georgios K. D. Saharidis & Antonios Fragkogios

Authors
  1. Georgios K. D. Saharidis
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  2. Antonios Fragkogios
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Editor information

Editors and Affiliations

  1. Industrial and Systems, Engineering Department, University of Florida, Center For Applied Optimization, Gainesville, FL, USA

    Panos M. Pardalos

  2. Industrial Logistics, ETS Institute, Lulea University of Technology, Norrbotten, Sweden

    Athanasios Migdalas

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Saharidis, G.K.D., Fragkogios, A. (2018). Open Problems on Benders Decomposition Algorithm. In: Pardalos, P., Migdalas, A. (eds) Open Problems in Optimization and Data Analysis. Springer Optimization and Its Applications, vol 141. Springer, Cham. https://doi.org/10.1007/978-3-319-99142-9_16

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