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Graph Partitioning for Independent Sets

  • Sebastian Lamm
  • Peter Sanders
  • Christian SchulzEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9125)

Abstract

Computing maximum independent sets in graphs is an important problem in computer science. In this paper, we develop an evolutionary algorithm to tackle the problem. The core innovations of the algorithm are very natural combine operations based on graph partitioning and local search algorithms. More precisely, we employ a state-of-the-art graph partitioner to derive operations that enable us to quickly exchange whole blocks of given independent sets. To enhance newly computed offsprings we combine our operators with a local search algorithm. Our experimental evaluation indicates that we are able to outperform state-of-the-art algorithms on a variety of instances.

Keywords

Vertex Cover Local Search Algorithm Graph Partitioning Maximum Clique Problem Solution Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Sebastian Lamm
    • 1
  • Peter Sanders
    • 1
  • Christian Schulz
    • 1
    Email author
  1. 1.Karlsruhe Institute of TechnologyKarlsruheGermany

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