• Medientyp: E-Book; Hochschulschrift
  • Titel: Randomized approximation and online algorithms for assignment problems
  • Beteiligte: Bender, Marco [VerfasserIn]; Westphal, Stephan [Betreuer]; Westphal, Stephan [Gutachter]; Vredeveld, Tjark [Gutachter]; Schöbel, Anita [Gutachter]
  • Erschienen: 2015
  • Umfang: Online-Ressource (PDF-Datei: 978 KB)
  • Sprache: Englisch
  • Identifikator:
  • Schlagwörter: Hochschulschrift
  • Entstehung:
  • Hochschulschrift: Göttingen, Univ., Diss., 2015
  • Anmerkungen:
  • Beschreibung: In this thesis, we consider several combinatorial optimization problems which feature assignment decisions. The first part deals with variants of the generalized assignment problem. We study an extension with additional minimum quantity constraints, and a generalization where the hard capacity constraints are relaxed by adding a convex summand to the objective function. Furthermore, we analyze a version of the separable assignment problem where it is allowed to assign items to multiple bins. For all these problems, we present results on their computational complexity and provide approximati...
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