Kangaroo: An Efficient Constraint-Based Local Search System Using Lazy Propagation

  • M. A. Hakim Newton
  • Duc Nghia Pham
  • Abdul Sattar
  • Michael Maher
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6876)


In this paper, we introduce Kangaroo, a constraint-based local search system. While existing systems such as Comet maintain invariants after every move, Kangaroo adopts a lazy strategy, updating invariants only when they are needed. Our empirical evaluation shows that Kangaroo consistently has a smaller memory footprint than Comet, and is usually significantly faster.


Local Search Problem Instance Partial Assignment Candidate Parameter Commit Assignment 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • M. A. Hakim Newton
    • 1
    • 2
  • Duc Nghia Pham
    • 1
    • 2
  • Abdul Sattar
    • 1
    • 2
  • Michael Maher
    • 1
    • 3
    • 4
  1. 1.National ICT Australia (NICTA) Ltd.Australia
  2. 2.Institute for Integrated and Intelligent SystemsGriffith UniversityAustralia
  3. 3.School of Computer Science and EngineeringUniversity of New South WalesAustralia
  4. 4.Reasoning Research InstituteSydneyAustralia

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