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A Note on Open Problems and Challenges in Optimization Theory and Algorithms

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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

In this note, we review some open problems and challenges concerning optimization theory and the algorithms.

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Author information

Authors and Affiliations

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

    A. Migdalas

  2. Department of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki, Central Macedonia, Greece

    A. Migdalas

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

    P. M. Pardalos

Authors
  1. A. Migdalas
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  2. P. M. Pardalos
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Corresponding author

Correspondence to A. Migdalas .

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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Migdalas, A., Pardalos, P.M. (2018). A Note on Open Problems and Challenges in Optimization Theory and Algorithms. 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_1

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