Pareto optimal equilibria for selfish bin packing with uniform cost sharing

György Dósa, Leah Epstein

Research output: Contribution to journalArticlepeer-review

Abstract

Bin packing problems deal with packing a set of items with sizes in (0, 1] into a minimum number of subsets, called bins, whose total sizes are no larger than 1. We study a class of bin packing games where the cost of an item packed into a bin with k items is 1k, that is, the cost sharing of each bin is uniform. We study the quality of strictly Pareto optimal equilibria and weakly Pareto optimal equilibria for these games.

Original languageAmerican English
Pages (from-to)827-847
Number of pages21
JournalJournal of Combinatorial Optimization
Volume37
Issue number3
DOIs
StatePublished - 1 Apr 2019

Keywords

  • Bin packing
  • Nash equilibrium
  • Pareto optimality
  • Selfish players

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Discrete Mathematics and Combinatorics
  • Control and Optimization
  • Computational Theory and Mathematics
  • Applied Mathematics

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