A survey of approximation results for local search algorithms

  • Authors:
  • Eric Angel

  • Affiliations:
  • LaMI, CNRS-UMR 8042, Université d'Évry Val-d'Essonne, Evry, France

  • Venue:
  • Efficient Approximation and Online Algorithms
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this chapter we review the main results known on local search algorithms with worst case guarantees. We consider classical combinatorial optimization problems: satisfiability problems, traveling salesman and quadratic assignment problems, set packing and set covering problems, maximum independent set, maximum cut, several facility location related problems and finally several scheduling problems. A replica placement problem in a distributed file systems is also considered as an example of the use of a local search algorithm in a distributed environment. For each problem we have provided the neighborhoods used along with approximation results. Proofs when too technical are omitted, but often sketch of proofs are provided.