Global Optimization in Practice

Josef Kallrath
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Josef Kallrath: University of Florida

Chapter Chapter 13 in Business Optimization Using Mathematical Programming, 2021, pp 447-459 from Springer

Abstract: Abstract Global optimization techniques, cf. Horst & Pardalos (1995), Floudas (2000), Floudas & Gounaris (2009), or Misener & Floudas (2012), are suitable for solving non-convex NLP or MINLP problems. When in this book we refer to global optimization, we mean deterministic global optimization, where a globally optimal objective function value can be computed up to a given ε > 0.

Date: 2021
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DOI: 10.1007/978-3-030-73237-0_13

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