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A Framework for Coordinating Parallel Branch and Bound Algorithms

  • Andries Stam
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2315)

Abstract

Branch and bound algorithms can be used for a variety of optimization problems. They are known to be very well suited for parallelization, which is a useful property to investigate in the light of coordination. This paper presents a general framework for parallel branch and bound algorithms, implemented using the coordination language MANIFOLD. Within this framework, the code for the optimization problemis separated fromthe generic branch and bound algorithmand the coordination strategy is separated fromthe coordinated components. The framework is an example of how the use of a coordination language can lead to a clean, comprehensible and flexible software architecture for complex parallel systems.

Keywords

Output Port Global Information Event Occurrence Global Knowledge Coordination Strategy 
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-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Andries Stam
    • 1
    • 2
  1. 1.LIACSLeiden UniversityThe Netherlands
  2. 2.Ordina Institute for Research and InnovationGoudaThe Netherlands

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