Solvability in infinite horizon optimization

Timothy D. Lortz, Irina S. Dolinskaya*, Archis Ghate, Robert L. Smith

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Abstract We give necessary and sufficient conditions for finite detection of an optimal initial decision for infinite horizon optimization under a broad set of assumptions and provide an algorithm that is guaranteed to solve every solvable problem under these assumptions. We illustrate the theory and algorithms developed with applications in production planning.

Original languageEnglish (US)
Article number5974
Pages (from-to)498-503
Number of pages6
JournalOperations Research Letters
Volume43
Issue number5
DOIs
StatePublished - Aug 3 2015

Keywords

  • Coalescence
  • Dynamic programming
  • Forecast horizons

ASJC Scopus subject areas

  • Software
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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